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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.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Pendiente de lanzamiento | 7 de octubre de 2026 |
| ISBN13 | 9781633434301 |
| Editores | Manning Publications |
| Páginas | 225 |
| Dimensiones | 150 × 220 × 10 mm · 240 g |
