Also known as: Chain-of-Thought Β· COT
COT, or chain of thought, refers to a sequence of intermediate reasoning steps used or elicited when solving a task. In generative AI, the term often describes reasoning-oriented prompting or model behavior intended to improve performance on multi-step problems.
In generative AI, Chain-of-Thought (CoT) is a prompting technique that encourages the large language model (LLM) to explicitly detail its reasoning process before arriving at a conclusion. This involves prompting the model to show the intermediate steps it takes to solve a problem, rather than just providing the final answer. This method can significantly improve the LLM's performance on complex reasoning tasks.