Nathan Lambert on the rise of "thinking" language models
AI Summer
Advancements in Reinforcement Learning for Language Models
This chapter explores the evolution of reinforcement learning techniques for language models, focusing on the O1 post-training methodology and its broader implications. It highlights the impact of computational resources and diversification in training on enhancing AI reasoning capabilities, referencing the AlphaGo model and advancements in fine-tuning practices.
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