Asked about Learning by acting

How does reinforcement learning apply to language models?

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Mainly in post-training. A pretrained model predicts plausible text; preference-based methods shape it towards being helpful and harmless, using human judgement as the reward signal rather than an environment score.

Reading an answer is not being able to give one. The section that teaches this is Learning by acting, 4 hours of Reinforcement learning.

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