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

Summary by VentureBeat
Carnegie Mellon University researchers propose a new LLM training technique that gives developers more control over chain-of-thought length.
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English TimesEnglish Times

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

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 inference costs of reasoning models can quickly stack up as models generat…

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ramaonhealthcare.comramaonhealthcare.com

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

Reasoning through chain-of-thought (CoT) — the process by which models break problems into manageable “thoughts” before deducting answers — has become an

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VentureBeatVentureBeat
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TheSpuzzTheSpuzz

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

Carnegie Mellon University researchers propose a new LLM training technique that gives developers more control over chain-of-thought length.

·San Francisco, United States
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VentureBeat broke the news in San Francisco, United States on Thursday, March 13, 2025.
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