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OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better

Training Data

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Scaling AI Reasoning: Insights and Implications

This chapter explores the implications of inference time scaling laws in AI, particularly focusing on the potential and reasoning capabilities of the O1 model. It discusses how extended reasoning periods could enhance AI's problem-solving abilities, especially in complex mathematical tasks traditionally managed by humans. The chapter also addresses the challenges of scaling AI models and the engineering hurdles encountered in developing advanced systems.

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