Chain-of-Thought Prompting
Prompting a model to reason step by step before answering.
Chain-of-thought prompting asks the model to produce intermediate reasoning steps before its final answer. Simply showing examples that "think out loud" — or instructing the model to do so — substantially improves performance on arithmetic, logic, and multi-step problems.
The idea later evolved into reasoning models that generate long internal chains of thought at inference time.