# Chain-of-Thought (CoT) prompting Chain-of-Thought (CoT) is an effective prompting technique. CoT tell [[Large Language Models (LLMs)]] to “use step by step reasoning”, the way a human would, to solve a problem. With CoT, LLMs do their best impressions of deduction. And because LLMs are good at impressions, they often guess correct lines of deduction. This makes the conclusions more likely to be correct.