Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
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Updated
Apr 20, 2024 - Python
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
An Easy-to-use, Scalable and High-performance RLHF Framework (Support 70B+ full tuning & LoRA & Mixtral & KTO)
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback
A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.
annotated tutorial of the huggingface TRL repo for reinforcement learning from human feedback connecting equations from PPO and GAE to the lines of code in the pytorch implementation
Shaping Language Models with Cognitive Insights
[TSMC] Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
LMRax is a framework built on JAX to train transformers language models by reinforcement learning, along with the reward model training.
Summaries of papers related to the alignment problem in NLP
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