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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…
