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Large language models (LLMs) are incredibly capable, but turning a general-purpose model into one that excels at specialized tasks—like accurate data labeling—often requires careful fine-tuning. One of the most widely used methods for this is Proximal Policy Optimization, or PPO. In his clear and approachable 2025 guide “PPO for LLMs: