This post explores the use of active prompting with chain-of-thought for large language models. It discusses the four steps of active prompting, considerations of employing this approach, and the contribution of the study. The post also mentions the baselines for this approach and provides information about the Chain-Of-X phenomenon in LLM prompting.
Table of contents
Active Prompting with Chain-of-Thought for Large Language ModelsIntroductionThe Four Steps Of Active PromptingConsiderationsContributionBaselinesMore On Chain-Of-XSort: