bagel-8b-v1.0

8.4K
52
llama
by
jondurbin
Language Model
OTHER
8B params
New
8K downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
8GB+ RAM

Code Examples

text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
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  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
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  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
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  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
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  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
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  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
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  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
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  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
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  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
BEGININPUT
  BEGINCONTEXT
  date: 2021-01-01
  url: https://web.site/123
  ENDCONTEXT
  In a shocking turn of events, blueberries are now green, but will be sticking with the same name.
  ENDINPUT
  BEGININSTRUCTION
  What color are bluberries?  Source?
  ENDINSTRUCTION
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Chain of thought</b>
    <br>
    Useful for having the model propose multiple possible responses, reasoning through each, and selecting a final, most probable answer.
  </summary>
  
  You can ask for several possible responses to a given problem, with a ranking and final answer selection.
  
  Example prompt:
text
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</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>reWOO style function planning/execution</b>
    <br>
    Useful for a longer, complex chain of function calls without having to continue re-prompting manually.
  </summary>

  The model now supports execution planning for complex instructions that would require making use of several tools.  The output is just the plan, you must implement a mechanism to parse the output and actually call the functions!
  
  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:
text
</details>

<details>
  <summary>
    <b>Emotion detection</b>
    <br>
    You can produce Valence-Arousal-Dominance scores for a given input text, which can in turn be mapped to human emotions (e.g. with k-means clustering on V and A)
  </summary>

  Example prompt:

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