Files
langchain/docs/modules/chains/examples/llm_checker.ipynb
Harrison ChaseandShreya Rajpal 985496f4be Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:

- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.

There is also a full reference section, as well as extra resources
(glossary, gallery, etc)

Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 08:24:09 -08:00

2.5 KiB

LLMCheckerChain

This notebook showcases how to use LLMCheckerChain.

In [1]:
from langchain.chains import LLMCheckerChain
from langchain.llms import OpenAI

llm = OpenAI(temperature=0.7)

text = "What type of mammal lays the biggest eggs?"

checker_chain = LLMCheckerChain(llm=llm, verbose=True)

checker_chain.run(text)
Out [1]:

> Entering new LLMCheckerChain chain...


> Entering new SequentialChain chain...
Chain 0:
{'statement': '\nNone. Mammals do not lay eggs.'}

Chain 1:
{'assertions': '\n• Mammals reproduce using live birth\n• Mammals do not lay eggs\n• Animals that lay eggs are not mammals'}

Chain 2:
{'checked_assertions': '\n1. True\n\n2. True\n\n3. False - Mammals are a class of animals that includes animals that lay eggs, such as monotremes (platypus and echidna).'}

Chain 3:
{'revised_statement': ' Monotremes, such as the platypus and echidna, lay the biggest eggs of any mammal.'}


> Finished SequentialChain chain.

> Finished LLMCheckerChain chain.
' Monotremes, such as the platypus and echidna, lay the biggest eggs of any mammal.'
In [ ]: