In AI training, a reward model acts as a learned scoring system that evaluates outputs based on human preferences. It guides reinforcement learning by assigning high scores to desired responses and low scores to undesired ones. Developers and researchers benefit by refining chatbots and generative tools to produce more accurate, helpful, and safe content.
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