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Nathan Lambert on the rise of "thinking" language models

AI Summer

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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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