OpenRLHF
OpenRLHF is an open-source RLHF training framework designed for alignment training of large language models. It supports multi-model cooperative scheduling, memory management optimization, and mainstream reinforcement learning algorithms such as PPO.
Timeline (last 90 days)
OpenRLHF, veRL, TRL, and others are specialized frameworks that have emerged for RLHF.
The community has produced simplified alternatives to RLHF, including DPO (Direct Preference Optimization) and RLAIF (replacing human feedback with AI feedback), implemented in open-source frameworks such as TRL and OpenRLHF.
All Facts (2)
OpenRLHF, veRL, TRL, and others are specialized frameworks that have emerged for RLHF.
50%UnverifiedThe community has produced simplified alternatives to RLHF, including DPO (Direct Preference Optimization) and RLAIF (replacing human feedback with AI feedback), implemented in open-source frameworks such as TRL and OpenRLHF.
50%