Tag: structured data extraction
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Simon Willison’s Weblog: NuExtract 1.5
Source URL: https://simonwillison.net/2024/Nov/16/nuextract-15/#atom-everything Source: Simon Willison’s Weblog Title: NuExtract 1.5 Feedly Summary: NuExtract 1.5 Structured extraction – where an LLM helps turn unstructured text (or image content) into structured data – remains one of the most directly useful applications of LLMs. NuExtract is a family of small models directly trained for this purpose, and released…
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Simon Willison’s Weblog: The 3 AI Use Cases: Gods, Interns, and Cogs
Source URL: https://simonwillison.net/2024/Oct/20/gods-interns-and-cogs/#atom-everything Source: Simon Willison’s Weblog Title: The 3 AI Use Cases: Gods, Interns, and Cogs Feedly Summary: The 3 AI Use Cases: Gods, Interns, and Cogs Drew Breunig introduces an interesting new framework for categorizing use cases of modern AI: Gods refers to the autonomous, AGI stuff that’s still effectively science fiction. Interns…
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Hacker News: Extracting financial disclosure and police reports with OpenAI Structured Output
Source URL: https://gist.github.com/dannguyen/faaa56cebf30ad51108a9fe4f8db36d8 Source: Hacker News Title: Extracting financial disclosure and police reports with OpenAI Structured Output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text details a demonstration of OpenAI’s GPT-4o-mini model for extracting structured data from financial disclosure reports and police blotter narratives. This showcases how AI can effectively parse…