An Open-source Factuality Evaluation Demo for LLMs
Project description
OpenFactCheck
An Open-source Factuality Evaluation Demo for LLMs
Overview
OpenFactCheck is an open-source repository designed to facilitate the evaluation and enhancement of factuality in responses generated by large language models (LLMs). This project aims to integrate various fact-checking tools into a unified framework and provide comprehensive evaluation pipelines.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
openfactcheck-0.0.17.tar.gz
(107.9 kB
view hashes)
Built Distribution
openfactcheck-0.0.17-py3-none-any.whl
(144.6 kB
view hashes)
Close
Hashes for openfactcheck-0.0.17-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 46987ab080b868a5cc4bb69f092d10bc480eb1e6363e06edaba92104ae2c59e5 |
|
MD5 | 1a39e833d3e96efeb277380ffd04ef4c |
|
BLAKE2b-256 | e6c524282084c5c0aa95fe1ee61adde5df2cbbc0ae21bb423478e64555cabd27 |