Reinforcement Learning in Python for LLM Fine-Tuning: Build a Simple RLHF PPO Pipeline

Short version: RLHF with PPO starts from a supervised-fine-tuned model and nudges it toward preferred outputs. You train a reward model on pairwise comparisons, then use PPO to update the policy while keeping it tethered to the starting checkpoint. The training loop generates completions, scores…