What is chain-of-thought (CoT) prompting and when is it most beneficial?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Chain-of-thought is like asking someone to show their work on a math test. The act of writing out each step actually helps get the right answer, not just explain it.
Full explanation below image
Full Explanation
Chain-of-thought prompting encourages the model to generate intermediate reasoning steps before producing a final answer. Adding 'Think step by step' or 'Let's think through this carefully' often dramatically improves performance on math, logic, multi-step reasoning, and planning tasks. The reasoning process itself seems to improve the quality of the final answer. Option A describes API orchestration/chaining, a different concept. Option C describes providing context/grounding, not CoT. Option D describes multi-turn conversation structure, unrelated to CoT.