Generative Artificial Intelligence (GenAI) systems are being increasingly
deployed across all parts of industry and research settings. Developers and end
users interact with these systems through the use of prompting or prompt
engineering. While prompting is a widespread and highly researched concept,
there exists conflicting terminology and a poor ontological understanding of
what constitutes a prompt due to the area's nascency. This paper establishes a
structured understanding of prompts, by assembling a taxonomy of prompting
techniques and analyzing their use. We present a comprehensive vocabulary of 33
vocabulary terms, a taxonomy of 58 text-only prompting techniques, and 40
techniques for other modalities. We further present a meta-analysis of the
entire literature on natural language prefix-prompting.

通过建立提示的结构化理解，本文通过整理提示技术的分类法和分析其使用，提供了 33 个词汇术语、58 种文本提示技术以及 40 种其他模态的技术，还对自然语言前缀提示的整个文献进行了元分析。