Tag: information 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: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5
Source URL: https://simonwillison.net/2024/Nov/7/project-verdad/#atom-everything Source: Simon Willison’s Weblog Title: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5 Feedly Summary: I’m starting a new interview series called Project. The idea is to interview people who are building interesting data projects and talk about what they’ve built, how they built it, and what they learned…
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Hacker News: Ask HN: Local RAG with private knowledge base
Source URL: https://news.ycombinator.com/item?id=41968366 Source: Hacker News Title: Ask HN: Local RAG with private knowledge base Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses considerations related to Document Retrieval-Augmented Generation (RAG) strategies in the context of utilizing large language models (LLMs). Specifically, it emphasizes the importance of document formatting and preprocessing for…