New technique helps LLMs rein in CoT lengths, optimizing reasoning without exploding compute costs

New technique helps LLMs rein in CoT lengths, optimizing reasoning without exploding compute costs

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Reasoning through chain-of-thought (CoT) — the process by which models break problems into manageable “thoughts” before deducting answers — has become an integral part of the latest generation of frontier large language models (LLMs). However, the…

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