Chain of Thought Prompting
Chain of thought prompting is a technique that encourages an AI model to break down complex reasoning into sequential, intermediate steps before arriving at a final answer. By explicitly asking the model to "think step by step," you guide it to show its reasoning process, which often leads to more accurate and transparent results.
Example
Instead of asking "What is 47 × 83?", you prompt: "What is 47 × 83? Let's work through this step by step." The model then breaks the multiplication into parts: 47 × 80 = 3,760, then 47 × 3 = 141, and finally adds them for 3,901.