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https://github.com/jagilley/fact-checker

Fact-checking LLM outputs with self-ask
https://github.com/jagilley/fact-checker

llm python

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Fact-checking LLM outputs with self-ask

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# fact checking with prompt chaining

This repo is a simple demonstration of doing fact-checking with prompt chaining. How it works:
- you ask your desired LLM a question
- the LLM generates an initial answer to the question
- the LLM self-interrogates what the assumptions were that went into that answer
- the LLM sequentially determines if each of these assumptions are true
- the LLM generates a new answer to the question, incorporating the new information

## to run

Run

`python3 fact_checker.py 'insert question here'`

*Be sure to wrap your question in quotes if you're passing it as a command line argument.*

Alternatively, you can use the provided `fact_checker.ipynb` notebook.

## example

Question: *"What type of mammal lays the biggest eggs?"*

**Initial answer:**
The biggest eggs laid by any mammal belong to the elephant.

**Assumptions made:**
- The elephant is a mammal
- Mammals lay eggs
- Eggs come in different sizes
- Elephants lay bigger eggs than other mammals

**Verification of assumptions:**
- The elephant is a mammal: TRUE
- Mammals lay eggs: FALSE - Most mammals give birth to live young.
- Eggs come in different sizes: TRUE
- Elephants lay bigger eggs than other mammals: FALSE - Elephants do not lay eggs.

**New answer:**
This question cannot be answered because elephants do not lay eggs and most mammals give birth to live young.

## credits
Proof of concept by [Jasper](https://twitter.com/0xjasper)