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Tag: structured extraction

  • Shabie’s blog: Let the kaleidoscope turn

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    Kurt Seifried
    in

    Source URL: https://shabie.github.io/2025/07/31/let-the-kaleidoscope-turn.html Source: Shabie’s blog Title: Let the kaleidoscope turn Feedly Summary: “Any good classifier knows that in the process of classification, information about variety is lost while information about similarities is gained.” – Joseph Tainter AI Summary and Description: Yes Summary: The text discusses the limitations of traditional retrieval-augmented generation (RAG) systems in…

  • Hacker News: Run structured extraction on documents/images locally with Ollama and Pydantic

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    Kurt Seifried
    in

    Source URL: https://github.com/vlm-run/vlmrun-hub Source: Hacker News Title: Run structured extraction on documents/images locally with Ollama and Pydantic Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the VLM Run Hub, which offers pre-defined Pydantic schemas aimed at facilitating data extraction from unstructured visual domains like images and videos, particularly for Vision Language…

  • Simon Willison’s Weblog: NuExtract 1.5

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    system automation
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    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…