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Reinforcement Learning from Human Feedback Nathan Lambert
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Reinforcement Learning from Human Feedback
Nathan Lambert
Aligning AI models to human preferences helps them become safer, smarter, easier to use and tuned to the exact style the creator desires. Reinforcement Learning from Human Feedback (RLHF) is the process of using human responses to a model’s output to shape its alignment and therefore its behaviour.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 2, 2026 |
| ISBN13 | 9781633434301 |
| Publishers | Manning Publications |
| Pages | 312 |
| Dimensions | 235 × 236 × 19 mm · 572 g |
