Chain-of-Thought Prompting
“Chain-of-Thought Prompting” is a short 7-minute practice from Zayenha Practice in the Digital & AI domain. Ask the model to "think out loud" step by step before the final answer, especially for logic and math problems. You can read its goal and first step for free; the full practice with every step and the interactive part comes with Plus.
Ask the model to "think out loud" step by step before the final answer, especially for logic and math problems.
Goal
Reduce rushed-inference errors by surfacing intermediate reasoning steps instead of jumping straight to the answer.
Steps
-
1
Identify a question requiring multi-step reasoning (calculation, comparison, planning, multi-factor decision).
Expected Outcome
Evidence base
School: Prompt Engineering / Reasoning Research
Founders: Jason Wei (Google Research) · Anthropic Research Team (2022)
The paper "Chain-of-Thought Prompting Elicits Reasoning" (Wei et al., Google 2022) proved that surfacing intermediate steps raises reasoning-task accuracy by dozens of percentage points versus direct questioning.
Keywords
Frequently asked questions
How long does "Chain-of-Thought Prompting" take?
When will I notice the effect of "Chain-of-Thought Prompting"?
Is "Chain-of-Thought Prompting" evidence-based?
Is "Chain-of-Thought Prompting" suitable for beginners?
Subscribe for full access
Subscribe to Plus for full access to this practice and the whole catalogue, or try first — free, no sign-in, no commitment.
7 complete practices (one per domain) are free forever, no sign-in.