Few-Shot Chain of Thought
Few-shot chain of thought is a prompting technique that combines few-shot examples with explicit step-by-step reasoning demonstrations. By showing the model not just input-output pairs but also the intermediate reasoning steps that connect them, this method significantly improves performance on complex tasks like math, logic, and multi-step analysis compared to using either technique alone.
Example
For a math word problem, you provide an example: "Q: A store sells 3 shirts at $15 each and 2 pants at $25 each. What's the total? A: Let's think step by step. Shirts: 3 × $15 = $45. Pants: 2 × $25 = $50. Total: $45 + $50 = $95." The model then applies the same structured reasoning to the new problem.
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