Chain-of-Thought Prompting

Learn how to divide complex reasoning into intermediate steps using chain-of-thought prompts.

Chain-of-thought (CoT) prompting is a technique for improving the reasoning abilities of LLMs. It works by providing the LLM with a few examples of correct chain-of-thought solutions to a problem. This helps the LLM learn how to decompose the problem into intermediate steps, and to reason about each step in turn.

For example, consider the following problem:

The even numbers in this group add up to an odd number: 2, 10, 5, 13, 14, 3, 1. Is this statement true or false?

A possilbe chain-of-thought solution to this problem might be:

  1. First, we need to identify the even numbers in the group. These are 2, 10, and 14.

  2. Next, we need to add up these numbers. The sum is 26.

  3. Finally, we need to check whether 26 is an odd number. It is not, so the statement is false.

By providing the LLM with a few examples of correct chain-of-thought solutions, we can help it learn how to solve problems like this one.

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