#57378
Mentioned in 1 episodes
The RLHF Book
Reinforcement learning from human feedback, alignment, and post-training LLMs
Book • 2025
The RLHF Book explores the ideas, established techniques, and best practices of RLHF for understanding what it takes to align AI models.
The book blends perspectives from philosophy, economics, and computer science with practical guidance on applying RLHF to language models.
It covers optimization stages from instruction tuning to reward model training, direct alignment algorithms, evaluation methods, and advanced topics including synthetic data and open research questions in the field.
The book blends perspectives from philosophy, economics, and computer science with practical guidance on applying RLHF to language models.
It covers optimization stages from instruction tuning to reward model training, direct alignment algorithms, evaluation methods, and advanced topics including synthetic data and open research questions in the field.
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Mentioned in 1 episodes
Mentioned as the definitive book on reinforcement learning from human feedback, available for pre-order.
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#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
