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Tag: data extraction

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

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    Kurt Seifried
    in

    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…

  • The Register: Wallbleed vulnerability unearths secrets of China’s Great Firewall 125 bytes at a time

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/27/wallbleed_vulnerability_great_firewall/ Source: The Register Title: Wallbleed vulnerability unearths secrets of China’s Great Firewall 125 bytes at a time Feedly Summary: Boffins poked around inside censorship engines for years before Beijing patched hole Smart folks investigating a memory-dumping vulnerability in the Great Firewall of China (GFW) finally released their findings after probing it for…

  • Hacker News: Show HN: Benchmarking VLMs vs. Traditional OCR

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    Kurt Seifried
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    Source URL: https://getomni.ai/ocr-benchmark Source: Hacker News Title: Show HN: Benchmarking VLMs vs. Traditional OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evaluation of Optical Character Recognition (OCR) accuracy between traditional OCR models and Vision Language Models (VLMs). It emphasizes the potential of VLMs, such as GPT-4o and Gemini 2.0,…

  • Hacker News: Bringing On-Chain Data to AI Agents with SQD and ElizaOS

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    Kurt Seifried
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    Source URL: https://blog.sqd.dev/fuel-your-eliza-ai-agent-with-sqd/ Source: Hacker News Title: Bringing On-Chain Data to AI Agents with SQD and ElizaOS Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emerging role of autonomous AI-driven agents in the blockchain ecosystem, particularly in the context of on-chain activities such as trading and liquidity management. It introduces…

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

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    Kurt Seifried
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    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…

  • Hacker News: Apache Airflow: Key Use Cases, Architectural Insights, and Pro Tips

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    Kurt Seifried
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    Source URL: https://codingcops.com/apache-airflow/ Source: Hacker News Title: Apache Airflow: Key Use Cases, Architectural Insights, and Pro Tips Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Apache Airflow, an open-source tool designed for managing complex workflows and big data pipelines. It highlights Airflow’s capabilities in orchestrating ETL processes, automating machine learning workflows,…

  • Slashdot: ‘Please Stop Inviting AI Notetakers To Meetings’

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/15/006253/please-stop-inviting-ai-notetakers-to-meetings?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ‘Please Stop Inviting AI Notetakers To Meetings’ Feedly Summary: AI Summary and Description: Yes Summary: The text analyzes the implications of AI-powered notetaking tools in virtual meetings, focusing on privacy concerns, miscommunication risks, and the evolving workplace dynamics they create. It emphasizes how reliance on such technology could undermine…

  • Hacker News: Why LLMs still suck at OCR

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    Kurt Seifried
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    Source URL: https://www.runpulse.com/blog/why-llms-suck-at-ocr Source: Hacker News Title: Why LLMs still suck at OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the challenges faced when using Large Language Models (LLMs) for tasks like Optical Character Recognition (OCR) and complex data extraction, emphasizing their limitations in processing intricate document layouts and the…

  • Simon Willison’s Weblog: DeepSeek API Docs: Rate Limit

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/18/deepseek-api-docs-rate-limit/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek API Docs: Rate Limit Feedly Summary: DeepSeek API Docs: Rate Limit This is surprising: DeepSeek offer the only hosted LLM API I’ve seen that doesn’t implement rate limits: DeepSeek API does NOT constrain user’s rate limit. We will try out best to serve every request. However,…

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

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    Kurt Seifried
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    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…