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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.

7 min Beginner

Goal

Reduce rushed-inference errors by surfacing intermediate reasoning steps instead of jumping straight to the answer.

Steps

  1. 1
    Identify a question requiring multi-step reasoning (calculation, comparison, planning, multi-factor decision).
4 more steps locked

Expected Outcome

Immediate
Simple arithmetic and logic errors drop noticeably from first use.

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?
This exercise takes about 7 minutes, practiced solo in a Creative format.
When will I notice the effect of "Chain-of-Thought Prompting"?
Simple arithmetic and logic errors drop noticeably from first use. In the short term: You build a habit of reviewing the model's steps instead of blindly trusting the final answer.
Is "Chain-of-Thought Prompting" evidence-based?
Yes — it draws on Prompt Engineering / Reasoning Research (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.
Is "Chain-of-Thought Prompting" suitable for beginners?
Its difficulty level is: Beginner. No external tools required — it can be practiced directly inside the platform.

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