Chain-of-thought prompting is a technique where you ask an AI model to work through a problem step by step before giving its final answer. Laying out the reasoning explicitly helps the model tackle tasks that involve logic, maths, or multiple steps more reliably. For example, asking it to show its working on a word problem often produces a more accurate result than demanding the answer directly.
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