What is a "chain-of-thought (CoT)" prompt?

Why is the method used to reach an answer more important than the final answer itself?

What is the critical difference between what an amateur and a professional asks an AI?

List two command phrases that should be used to initiate a chain-of-thought response.

How does a CoT prompt change the role of the AI from an answer machine?

Rewrite the weak prompt "What is mitosis?" into a strong CoT prompt based on the provided table.

What is the "law of learning" stated in the key takeaway?

Why is demanding the process from an AI a useful learning strategy?

Provide the example of a strong CoT prompt for solving an Algebra problem.

In the English example, how can a CoT prompt be used to deconstruct a PEEL paragraph?

The module states that final answers are shallow, but the process is what?

Why are CoT prompts especially valuable for scientific explanations?

If you cannot explain how you arrived at a conclusion, what have you failed to do?

What sequence of thinking, demonstrated in the Algebra example, builds true understanding?

What must you train yourself to always demand from your tools and yourself?