Reinforcement Learning from Human Feedback (RLHF) trains AI models using human preferences as rewards, refining outputs to align with user intent. It powers chatbots like ChatGPT, enhancing helpfulness and safety. Developers, researchers, and businesses benefit through improved AI accuracy, reduced harmful responses, and more natural interactions, making advanced language models practical for real-world applications.
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