cot-prompting-requires-min-five-few-shot-examples
IN premise — summaries/2026/08/24/wiki-Large_language_model-chunk-5.md
Created 2026-08-24T17:11:17+00:00
Chain-of-Thought prompting requires at least 5 few-shot examples with intermediate reasoning steps to elicit multi-step arithmetic or logical reasoning in LLMs (Wei et al., 2023)
Summary
A language model will not reliably walk through multi-step math or logic problems unless its prompt includes at least five worked examples that show each intermediate reasoning step, so this sets a hard practical floor on how much reasoning scaffolding must be built into a prompt. In other words, showing one or two reasoning traces is not enough to make the model think step by step; you need a minimum of five to reliably trigger that behavior.