langchain/docs/modules/models
Myeongseop Kim 747b5f87c2
Add HumanInputLLM (#4160)
Related: #4028, I opened a new PR because (1) I was unable to unstage
mistakenly committed files (I'm not familiar with git enough to resolve
this issue), (2) I felt closing the original PR and opening a new PR
would be more appropriate if I changed the class name.

This PR creates HumanInputLLM(HumanLLM in #4028), a simple LLM wrapper
class that returns user input as the response. I also added a simple
Jupyter notebook regarding how and why to use this LLM wrapper. In the
notebook, I went over how to use this LLM wrapper and showed example of
testing `WikipediaQueryRun` using HumanInputLLM.
 
I believe this LLM wrapper will be useful especially for debugging,
educational or testing purpose.
2023-05-06 09:48:40 -07:00
..
chat Simplify HumanMessages in the quick start guide (#4026) 2023-05-03 22:45:03 -07:00
llms Add HumanInputLLM (#4160) 2023-05-06 09:48:40 -07:00
text_embedding/examples Update \docs\modules\models\text_embedding\examples\openai.ipynb (#3976) 2023-05-02 14:41:31 -07:00
chat.rst big docs refactor (#1978) 2023-03-26 19:49:46 -07:00
llms.rst big docs refactor (#1978) 2023-03-26 19:49:46 -07:00
text_embedding.rst big docs refactor (#1978) 2023-03-26 19:49:46 -07:00