Scalable Chain of Thoughts via Elastic Reasoning
Deep Papers
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Advancements in Elastic Reasoning Models
This chapter explores significant advancements in reasoning models, particularly focusing on the role of test time compute in enhancing response quality. It introduces the concept of separating reasoning from solution tokens to improve model performance and reduce costs, while discussing implications for interpretability and user comfort with AI. Additionally, it presents the Elastic Reasoning approach, demonstrating how budget constraints can be managed to optimize thinking and output effectively, while addressing challenges related to hallucinations in AI.
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