Experimental News Clipping Site

Tag: extraction

  • Simon Willison’s Weblog: Notes on Google’s Gemma 3

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/12/notes-on-googles-gemma-3/ Source: Simon Willison’s Weblog Title: Notes on Google’s Gemma 3 Feedly Summary: Google’s Gemma team released an impressive new model today (under their not-open-source Gemma license). Gemma 3 comes in four sizes – 1B, 4B, 12B, and 27B – and while 1B is text-only the larger three models are all multi-modal for…

  • Simon Willison’s Weblog: Cutting-edge web scraping techniques at NICAR

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/8/cutting-edge-web-scraping/#atom-everything Source: Simon Willison’s Weblog Title: Cutting-edge web scraping techniques at NICAR Feedly Summary: Cutting-edge web scraping techniques at NICAR Here’s the handout for a workshop I presented this morning at NICAR 2025 on web scraping, focusing on lesser know tips and tricks that became possible only with recent developments in LLMs. For…

  • Hacker News: Mistral OCR

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    Kurt Seifried
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    Source URL: https://mistral.ai/news/mistral-ocr Source: Hacker News Title: Mistral OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text details the introduction of Mistral OCR, a new Optical Character Recognition API that significantly enhances document understanding capabilities by accurately extracting content from complex documents. This technology presents valuable applications for various fields and…

  • Hacker News: Launch HN: Cenote (YC W25) – Back Office Automation for Medical Clinics

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    Kurt Seifried
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    Source URL: https://news.ycombinator.com/item?id=43280836 Source: Hacker News Title: Launch HN: Cenote (YC W25) – Back Office Automation for Medical Clinics Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Cenote, a company using AI to streamline referral intake for medical clinics by automating data extraction and insurance verification processes. This innovation is particularly…

  • Cloud Blog: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/gostringungarbler-deobfuscating-strings-in-garbled-binaries/ Source: Cloud Blog Title: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries Feedly Summary: Written by: Chuong Dong Overview In our day-to-day work, the FLARE team often encounters malware written in Go that is protected using garble. While recent advancements in Go analysis from tools like IDA Pro have simplified the analysis process, garble…

  • AWS News Blog: Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/get-insights-from-multimodal-content-with-amazon-bedrock-data-automation-now-generally-available/ Source: AWS News Blog Title: Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available Feedly Summary: Amazon Bedrock Data Automation streamlines the extraction of valuable insights from unstructured multimodal content (documents, images, audio, and videos) by providing a simplified way to build intelligent document processing and media analysis…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Simon Willison’s Weblog: Structured data extraction from unstructured content using LLM schemas

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/28/llm-schemas/#atom-everything Source: Simon Willison’s Weblog Title: Structured data extraction from unstructured content using LLM schemas Feedly Summary: LLM 0.23 is out today, and the signature feature is support for schemas – a new way of providing structured output from a model that matches a specification provided by the user. I’ve also upgraded both…

  • Hacker News: Putting Andrew Ng’s OCR models to the test

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    Kurt Seifried
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    Source URL: https://www.runpulse.com/blog/putting-andrew-ngs-ocr-models-to-the-test Source: Hacker News Title: Putting Andrew Ng’s OCR models to the test Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of a new document extraction service by Andrew Ng, highlighting significant challenges with accuracy in processing complex financial statements using current LLM-based models. These challenges underscore…