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What's the reason for using reinforcement learning from human feedback (RLHF) in generative AI models?

publish date2025/09/16 00:39:53.515223 UTC

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Correct Answer

To improve the alignment the model's responses with human preferences

Explanation

RLHF is focused on improving the responses of a generative AI model by incorporating human preferences and feedback.  It does not impact  the speed of the model and it may increase training costs.  Deep learning models are usually the core of the transformer model, which is when RLHF is used.

Reference

AWS Certified AI Practitioner (AIF-C01) Study Guide, Tom Taulli


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