Can RLHF eliminate hallucinations?
No. Feedback can discourage unsupported answers and improve some behaviors, but imperfect supervision and reward models can still leave confident mistakes and misleading outputs.
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More FAQs in What is reinforcement learning with human feedback (RLHF)?
A rating can become feedback data, but RLHF requires a training process that turns feedback into optimization signals. Clicking a button does not itself update model parameters.
No. Some approaches, including standard DPO, directly optimize preference comparisons without a separately trained explicit reward model or the classic PPO training loop.
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