RLHF stands for Reinforcement Learning from Human Feedback. What role does it play in training Claude?
Select an answer to reveal the explanation.
Short Explanation and Infographic
RLHF is like having expert editors rate thousands of the model's drafts — the model learns which style of writing gets the thumbs up.
Full explanation below image
Full Explanation
RLHF involves training a reward model based on human preference judgments, then using reinforcement learning to optimize the language model toward outputs that score highly on that reward model. Human annotators compare pairs of model responses and indicate which is better (more helpful, safer, more honest). This feedback signal shapes Claude toward preferred behavior. Option A misunderstands the process entirely. Option C describes real-time learning, which Claude does not do — it learns during training, not inference. Option D is completely unrelated to language models.