According to my web search, RLHF stands for Reinforcement Learning from Human Feedback1. It is a technique that allows an artificial agent to learn from the preferences of a human user, rather than from a predefined reward function. The human user provides feedback to the agent, such as positive or negative signals, which the agent uses to update its policy and improve its performance. RLHF can be applied to various domains, such as natural language generation, robotics, games, etc.
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