Verified75% confidenceFactExact time
Chain-of-Thought (CoT) prompting improves performance on complex tasks by guiding step-by-step reasoning.
5
Sources
75%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Prompt中一个词如何左右AI输出：可能性之井原理解析
Related Claims
UnverifiedChain-of-Thought technology can improve accuracy on complex tasks, but at the cost of multiplying token generation, further lengthening response time.76% similarUnverified该方法论本质上是思维链提示（Chain-of-Thought, CoT）与角色扮演（Role Prompting）技术的综合应用74% similarUnverifiedThe intelligent agent system adopts a closed-loop architecture of perception–planning–execution, decomposing complex tasks into sub-task sequences through reasoning frameworks such as ReAct and Chain-of-Thought.74% similarVerifiedThe role of a workflow is to break down complex tasks into controllable steps.73% similarUnverifiedThe multi-step chained working mode of edge agents causes single-inference latency to be amplified across multiple steps.73% similar
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