Chain-of-Thought (CoT) Prompting
A prompting technique where intermediate reasoning steps are shown in few-shot examples, causing language models to generate their own step-by-step reasoning before producing a final answer.
A prompting technique where intermediate reasoning steps are shown in few-shot examples, causing language models to generate their own step-by-step reasoning before producing a final answer. Instead of providing just (question, answer) pairs, CoT examples show (question, reasoning steps, answer) triples. This technique is most effective for large models (100B+ parameters) on multi-step reasoning tasks like math and logic.
Solving problems by writing out reasoning step-by-step in natural language. Works well but requires humans to verify correctness.