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Reinforcement Learning from Human Feedback Nathan Lambert
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.
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| A libérer | 7 octobre 2026 |
| ISBN13 | 9781633434301 |
| Éditeurs | Manning Publications |
| Pages | 312 |
| Dimensions | 150 × 220 × 10 mm · 240 g |