Large language models (LLMs) require well-crafted prompts for effective use.
Prompt engineering, the process of designing prompts, is challenging,
particularly for non-experts who are less familiar with AI technologies. While
researchers have proposed techniques and tools to assist LLM users in prompt
design, these works primarily target AI application developers rather than
non-experts. To address this research gap, we propose social prompt
engineering, a novel paradigm that leverages social computing techniques to
facilitate collaborative prompt design. To investigate social prompt
engineering, we introduce Wordflow, an open-source and social text editor that
enables everyday users to easily create, run, share, and discover LLM prompts.
Additionally, by leveraging modern web technologies, Wordflow allows users to
run LLMs locally and privately in their browsers. Two usage scenarios highlight
how social prompt engineering and our tool can enhance laypeople's interaction
with LLMs. Wordflow is publicly accessible at
this https URL

大型语言模型（LLMs）需要精心设计的提示才能有效使用。在提示工程中，设计提示是一项具有挑战性的工作，特别是对于不熟悉人工智能技术的非专业人士来说。为填补这一研究空白，我们提出社交提示工程，这是一个借助社交计算技术促进合作性提示设计的新范式。我们介绍了 Wordflow，一个开源的社交文本编辑器，使普通用户能够轻松创建、运行、共享和发现 LLM 提示。Wordflow 还通过利用现代 Web 技术，允许用户在其浏览器中本地和私密地运行 LLMs。两个使用场景展示了社交提示工程和我们的工具如何增强普通用户与 LLMs 的互动。Wordflow 可以通过此 https URL 公开访问。