An Exploration of Pattern Mining with ChatGPT
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917876188839936 |
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| author | Weiss, Michael |
| author_facet | Weiss, Michael |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_16814 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Exploration of Pattern Mining with ChatGPT Weiss, Michael Artificial Intelligence 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. |
| title | An Exploration of Pattern Mining with ChatGPT |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2412.16814 |