Chain-of-Thought Prompting: It’s off the Chain
A simple "trick" that forces LLMs into thinking through their responses.
Happy Thursday, techno tinkerers,
The people (you) have spoken:
So today we’re looking at chain-of-thought prompting.
Take a deep breath, and let’s read this article step by step.
What is chain-of-thought prompting?
In a nutshell, chain-of-thought (CoT) prompting is any method that nudges a large language model into thinking through its response before answering.
It was first introduced in a 2022 paper called Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Here’s the first example from it: