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Chain-of-Thought Prompting

Prompting a model to reason through intermediate steps before giving a final answer.

Instead of asking a model to jump straight to an answer, chain-of-thought prompting asks it to work through the problem step by step first — which measurably improves accuracy on tasks involving logic, arithmetic, or multi-step reasoning, at the cost of a longer, slower response.

Where this shows up in practice

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