June 7, 2023 /Technology/ — Chain-of-thought (CoT) prompting is a method for improving the performance of large language models (LLMs) on reasoning tasks. CoT prompts encourage LLMs to explain their reasoning process by providing them with a few examples of how to do so.

CoT prompting was first introduced in the paper “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models” by Wei et al. (2022). In this paper, the authors showed that CoT prompting can significantly improve the performance of LLMs on a range of reasoning tasks, including arithmetic, commonsense, and symbolic reasoning. Continue reading →