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Chain-of-Thought: "Think Step by Step"
Ask the model to decompose the problem and show its reasoning before answering, raising accuracy on complex tasks.
Goal
Reduce logical and arithmetic errors by surfacing the reasoning chain.
Steps
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1
Pick a multi-step problem (calculation, comparison, inference).
Expected Outcome
Immediate
Accuracy on logic problems rises 20-40% vs a direct question.
Evidence base
School: Chain-of-Thought Prompting
Founders: Wei et al. · Google Brain (2022)
Wei et al. 2022 showed "let's think step by step" raises GSM8K math accuracy from ~18% to ~57%.
Keywords
Frequently asked questions
How long does "Chain-of-Thought: "Think Step by Step"" take?
This exercise takes about 10 minutes, practiced solo in a Creative format.
When will I notice the effect of "Chain-of-Thought: "Think Step by Step""?
Accuracy on logic problems rises 20-40% vs a direct question. In the short term: You catch model errors early instead of trusting a wrong answer.
Is "Chain-of-Thought: "Think Step by Step"" evidence-based?
Yes — it draws on Chain-of-Thought Prompting (Wei et al., Google Brain (2022)). Wei et al. 2022 showed "let's think step by step" raises GSM8K math accuracy from ~18% to ~57%.
Is "Chain-of-Thought: "Think Step by Step"" suitable for beginners?
Its difficulty level is: Intermediate. No external tools required — it can be practiced directly inside the app.
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