Prompting Series Episode 5: Get Accurate AI Answers with Chain-of-Thought ("Show Your Work" Trick)

Описание: Is your AI giving you the right answer... but for the wrong reasons? Or worse, is it just plain wrong on logic and math problems?

The problem isn't that the AI is flawed. It's that it rushed.

Like a brilliant intern, AI models often try to jump straight to the final answer, missing critical steps along the way. In this video, I'll show you how to fix this with one of the most powerful techniques in prompt engineering: Chain-of-Thought (CoT) prompting.

This is your new "debugging superpower." It's a simple phrase that forces the AI to stop guessing and instead build a sequence of verifiable steps. You're essentially telling your "intern" to "Show your work."

In this video, you will learn:

What Chain-of-Thought (CoT) prompting is and why it's essential for logic, math, and multi-step analysis.

How CoT works by giving the AI multiple opportunities to "self-correct" its own mistakes.

A practical demo where we show the differences in standard prompting and Chain-of-Thought prompting.

How to use CoT as your "debugging superpower" to trust how your AI got its answer.

This video is part of my complete series on prompt engineering, designed to help you get the most out of artificial intelligence.

🔔 If this was helpful, be sure to like, subscribe, and comment below with a logic problem you've struggled with!

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