langchain/docs/modules/models/llms/examples
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
..
async_llm.ipynb add async support for anthropic (#2114) 2023-03-28 22:49:14 -04:00
custom_llm.ipynb Callbacks Refactor [base] (#3256) 2023-04-30 11:14:09 -07:00
fake_llm.ipynb bump version to 131 (#2391) 2023-04-04 07:21:50 -07:00
human_input_llm.ipynb Add HumanInputLLM (#4160) 2023-05-06 09:48:40 -07:00
llm_caching.ipynb Harrison/redis cache (#3766) 2023-04-28 20:47:18 -07:00
llm_serialization.ipynb Minor text correction (#2298) 2023-04-02 13:54:42 -07:00
llm.json big docs refactor (#1978) 2023-03-26 19:49:46 -07:00
llm.yaml big docs refactor (#1978) 2023-03-26 19:49:46 -07:00
streaming_llm.ipynb Fix documentation typos (#3870) 2023-05-01 20:58:38 -07:00
token_usage_tracking.ipynb Add easy print method to openai callback (#2848) 2023-04-13 11:28:42 -07:00