Experimental News Clipping Site

Tag: document extraction

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

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    Kurt Seifried
    in

    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…

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

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    Kurt Seifried
    in

    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…

  • Hacker News: Nvidia-Ingest: Multi-modal data extraction

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    by

    Kurt Seifried
    in

    Source URL: https://github.com/NVIDIA/nv-ingest Source: Hacker News Title: Nvidia-Ingest: Multi-modal data extraction Feedly Summary: Comments AI Summary and Description: Yes Summary: The NVIDIA-Ingest microservice represents a significant advancement in multi-modal document data extraction, crucial for leveraging generative AI and machine learning applications. By effectively contextualizing and extracting diverse content types from documents, it offers enhanced performance…

  • Hacker News: OmniAI (YC W24) Hiring Engineers to Build Open Source Document Extraction

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    by

    Kurt Seifried
    in

    Source URL: https://www.ycombinator.com/companies/omniai/jobs/LG5jeP2-full-stack-engineer Source: Hacker News Title: OmniAI (YC W24) Hiring Engineers to Build Open Source Document Extraction Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the engineering roles at Omni, focused on building advanced OCR and document extraction technologies, highlighting the challenges of working with LLMs and integrating various tech…