Evaluating the Effectiveness of Reward Modeling of Generative AI Systems
New research evaluating the effectiveness of reward modeling during Reinforcement Learning from Human Feedback (RLHF): “SEAL: Systematic Error Analysis for Value ALignment.” The paper introduces quantitative metrics for evaluating the effectiveness of modeling and aligning human values: Abstract: Reinforcement Learning from Human Feedback (RLHF) aims to align language models (LMs) with human values by training […]
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