Chain-of-Thought (CoT) prompting instructs the AI to show its reasoning process step by step before delivering a final answer. It dramatically improves accuracy on reasoning, math, logic, and multi-step analysis tasks by forcing the model to work through the problem rather than guess at the answer.
Chain-of-Thought prompting was introduced by Google researchers in 2022 and has since become one of the most widely used techniques in prompt engineering. Instead of asking for a direct answer, you explicitly instruct the AI to think through the problem step by step. This single change often converts a wrong answer into a correct one on tasks that require reasoning.
Use Chain-of-Thought when your task involves reasoning, math, logic puzzles, multi-step analysis, or any situation where the AI might jump to a wrong conclusion if it doesn't think first. It is less useful for simple lookup tasks or creative writing where reasoning steps add no value. For tasks requiring tool use in a loop, use ReAct instead.
CoT vs RACE: RACE asks for a direct output; CoT adds explicit step-by-step reasoning before that output — use CoT when the reasoning path matters. CoT vs RISEN: RISEN defines a fixed sequence of steps for the AI to follow; CoT asks the AI to generate its own reasoning chain. CoT vs ReAct: ReAct adds tool use and observation loops; CoT is for single-pass reasoning without external tools.
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Start freeChain-of-Thought (CoT) prompting instructs an AI model to reason through a problem step by step before giving a final answer. It was introduced by Google researchers in 2022 and significantly improves accuracy on reasoning and math tasks.
Yes. CoT works with all major language models. The technique is model-agnostic — any model capable of following instructions benefits from explicit step-by-step reasoning prompts.
Zero-shot CoT uses a simple instruction like 'think step by step' with no examples. Few-shot CoT provides worked examples showing both the reasoning chain and the final answer. Few-shot CoT generally produces more structured reasoning but requires more prompt writing.
Skip CoT for simple factual lookups, creative writing, and short tasks where reasoning steps add no value and just increase output length. CoT is most valuable when the risk of jumping to a wrong conclusion is high.