CoT (Chain of Thought)
Chain of Thought
A technique that prompts AI to reason through problems step by step, improving accuracy on complex tasks.
In Simple Terms
CoT is a technique where AI works through a problem by writing out each step of its thinking, rather than jumping straight to an answer. It's often compared to solving a math word problem by writing out your calculations one by one, rather than doing everything in your head. By thinking through problems step by step this way, AI can achieve higher accuracy even on tasks that require complex reasoning.
Behind the Name
CoT is short for Chain of Thought. In English, 'chain' refers to a series of links connected together, and 'thought' means the act of thinking or reasoning. The name evokes the image of linking separate ideas one by one into a structured sequence — like following a chain of logic from start to finish.
Take a Closer Look!
CoT is a technique that prompts AI to write out the steps and thought process involved in solving a problem, rather than jumping straight to a final answer.
When asked only for the result, AI tends to make more mistakes — especially on problems that require multi-step reasoning.
Instead, CoT encourages AI to work through problems the way a person would: 'First check A, then calculate B, then use that result to derive C.'
To put it simply, it's like letting AI write out rough notes or think out loud as it works.
Research has shown that this approach significantly improves the accuracy of AI responses.
It's especially effective for math word problems, logic puzzles, and tasks that require nuanced judgment.
Because AI writes out the intermediate steps it used to reach an answer, it also becomes much easier for people to follow and verify the reasoning.