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Chain-of-Thought: "Think Step by Step"

“Chain-of-Thought: "Think Step by Step"” is a short 10-minute practice from Zayenha Practice in the Digital & AI domain. Ask the model to decompose the problem and show its reasoning before answering, raising accuracy on complex tasks. 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 decompose the problem and show its reasoning before answering, raising accuracy on complex tasks.

10 min Intermediate

Goal

Reduce logical and arithmetic errors by surfacing the reasoning chain.

Steps

1

Pick a multi-step problem (calculation, comparison, inference).

4 more steps locked

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%.

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 platform.

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Interactive practice locked · 4 more steps locked

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