Unlocking Chain-of-Thought Reasoning in Large Language Models
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Chain-of-thought reasoning is the technique of prompting a large language model to decompose a problem into intermediate steps before producing a final answer. Rather than emitting a conclusion immediately, the model generates a visible reasoning trace, which improves accuracy on arithmetic, logic,…
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- 2026-09-15 05:32 · DEV Community — AI
Unlocking Chain-of-Thought Reasoning in Large Language Models