Freaks City

Reinforcement Learning from Human Feeedback (RLHF) aligns language models with human preferences through a multi-stage process. Modern large language model pipelines commonly incorporate RLHF, often combining techniques like Direct Preference Optimization (DPO) followed by Proximal Policy Optimization (PPO). This guide focuses on implementing t ...