用ChatGPT辅助挖掘模式，构建LLM与工具集成的模式语言
An Exploration of Pattern Mining with ChatGPT
- 提出八步人机协作流程，结合人类洞察与AI能力
- 构建了大语言模型与数据源集成的模式语言
- 建议在模式描述中加入组件可用性特征，适合模式作者参考
本文探索使用ChatGPT进行模式挖掘的可行性，提出一个八步协同流程，融合人类洞察与AI能力，从已有应用中提取模式。通过实际示范，构建了大语言模型（LLMs）与数据源及工具集成的模式语言。LLMs如ChatGPT是基于海量文本训练的新一代AI模型，可生成文本、图像或视频等新内容。论文还主张将底层组件的可用性特征作为新模式描述的新元素。主要受众为希望利用LLMs开展模式挖掘的模式撰写者。
原文摘要 · Abstract (English)
This paper takes an exploratory approach to examine the use of ChatGPT for pattern mining. It proposes an eight-step collaborative process that combines human insight with AI capabilities to extract patterns from known uses. The paper offers a practical demonstration of this process by creating a pattern language for integrating Large Language Models (LLMs) with data sources and tools. LLMs, such as ChatGPT, are a new class of AI models that have been trained on large amounts of text, and can create new content, including text, images, or video. The paper also argues for adding affordances of the underlying components as a new element of pattern descriptions. The primary audience of the paper includes pattern writers interested in pattern mining using LLMs.
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