What is Chain of Thought (CoT)?
A prompting technique where AI shows its reasoning step-by-step to improve accuracy.
Definition
Chain of Thought prompting encourages AI models to break down complex problems into intermediate reasoning steps before giving a final answer. This significantly improves performance on math, logic, and multi-step reasoning tasks.
Examples
Why It Matters
CoT prompting can dramatically improve AI accuracy on complex tasks. Some models like DeepSeek R1 do this automatically.
Related Terms
Common Questions
What does Chain of Thought (CoT) mean in simple terms?
A prompting technique where AI shows its reasoning step-by-step to improve accuracy.
Why is Chain of Thought (CoT) important for AI users?
CoT prompting can dramatically improve AI accuracy on complex tasks. Some models like DeepSeek R1 do this automatically.
How does Chain of Thought (CoT) relate to AI chatbots like ChatGPT?
Chain of Thought (CoT) is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: Adding "Let's think step by step" Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Chain of Thought (CoT) in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.