Chain-of-Thought prompting asks the model to show its reasoning process step by step before giving a final answer. This dramatically improves performance on math, logic, and complex reasoning tasks. Simply adding 'Let's think step by step' to a prompt can improve accuracy. It helps models avoid errors by making their reasoning explicit.









