JayantShiv
1 post
Sep 26, 2025
2:57 AM
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Reinforcement Learning from Human Feedback (RLHF) helps AI models improve by learning directly from human evaluations. After initial training on large datasets, the model generates outputs that humans review and rate based on accuracy, relevance, or safety. These ratings are converted into reward signals that guide the model’s learning through reinforcement learning. RLHF is widely applied in large language models, chatbots, and AI content systems, making them more reliable, safe, and aligned with human expectations. By incorporating human judgment, RLHF ensures AI produces results that are both technically accurate and socially appropriate.
Last Edited by JayantShiv on Sep 26, 2025 2:59 AM
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