Popular GitHub Repositories for Rlaif

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

A continually updated list of literature on Reinforcement Learning from AI Feedback (RLAIF)

code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning

ZYN: Zero-Shot Reward Models with Yes-No Questions

Code and data for "Timo: Towards Better Temporal Reasoning for Language Models" (COLM 2024)

distilled Self-Critique refines the outputs of a LLM with only synthetic data

An implementation of a vanilla RLAIF pipeline, utilizing GPT-2-Large for the summarization task with the TL;DR dataset.