Tech Report: RLHF Workflow: From Reward Modeling to Online RLHF
Code for Reward Modeling: https://github.com/RLHFlow/RLHF-Reward-Modeling
Code for Online RLHF: https://github.com/RLHFlow/Online-RLHF
Tech Report: RLHF Workflow: From Reward Modeling to Online RLHF
Code for Reward Modeling: https://github.com/RLHFlow/RLHF-Reward-Modeling
Code for Online RLHF: https://github.com/RLHFlow/Online-RLHF
Recipes to train reward model for RLHF.
Codebase for Iterative DPO Using Rule-based Rewards
Recipes to train the self-rewarding reasoning LLMs.
Directional Preference Alignment
This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or rejection sampling fine-tuning.
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