Reinforcement Learning from Human Feedback
Training that uses human preference signalsA model-training approach that uses human feedback or preferences as a signal for optimizing behavior.
Official sourcePronounced “ar-el-aitch-eff”. Check its meaning and usage context with sources.
Official source
RLHF stands for Reinforcement Learning from Human Feedback. It uses human preference signals to train or optimize a model toward responses that better match a chosen set of criteria.
A training approach that uses human feedback to shape model behavior.
Meanings by domain
A model-training approach that uses human feedback or preferences as a signal for optimizing behavior.
Official sourceUsage contexts in the published data
Points that prevent overclaiming
RLHF is a training approach, not a single algorithm; data collection, preference criteria, and optimization choices affect the result.
Expansions and usage
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Verification date and sources
Official source
Last verifiedAug 21, 2026
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