Summary of An Exploration Of Pattern Mining with Chatgpt, by Michael Weiss
An Exploration of Pattern Mining with ChatGPT
by Michael Weiss
First submitted to arxiv on: 22 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach is proposed to leverage ChatGPT for pattern mining by combining human insight with AI capabilities through an eight-step collaborative process. This process enables the extraction of patterns from known uses, as demonstrated by creating a pattern language for integrating Large Language Models (LLMs) with data sources and tools. The paper highlights the potential of LLMs like ChatGPT in generating new content, including text, images, or video, and emphasizes the importance of considering the affordances of underlying components when describing patterns. This research is particularly relevant to pattern writers seeking to harness the capabilities of LLMs for pattern mining. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper uses AI to find patterns in things we already know how to do. It shows us how to work with a big language model like ChatGPT to extract patterns from what people are already doing. This can help us create new ways to use these models with data and tools. The researchers think this is important for people who write patterns, as it could help them come up with new ideas. |
Keywords
» Artificial intelligence » Language model
