Experimental News Clipping Site

Tag: pdf

  • METR updates – METR: Comment on NIST RMF GenAI Companion

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    Kurt Seifried
    in

    Source URL: https://downloads.regulations.gov/NIST-2024-0001-0075/attachment_2.pdf Source: METR updates – METR Title: Comment on NIST RMF GenAI Companion Feedly Summary: AI Summary and Description: Yes **Summary**: The provided text discusses the National Institute of Standards and Technology’s (NIST) AI Risk Management Framework concerning Generative AI. It outlines significant risks posed by autonomous AI systems and suggests enhancements to…

  • Hacker News: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch.

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    Kurt Seifried
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    Source URL: https://people.ece.ubc.ca/aamodt/publications/papers/realgpu-noc.micro2024.pdf Source: Hacker News Title: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch. Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed examination of the Network-on-Chip (NoC) architecture in modern GPUs, particularly analyzing interconnect latency and bandwidth across different generations of NVIDIA GPUs. It discusses the implications…

  • Cloud Blog: Unlock multimodal search at scale: Combine text & image power with Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/combine-text-image-power-with-vertex-ai/ Source: Cloud Blog Title: Unlock multimodal search at scale: Combine text & image power with Vertex AI Feedly Summary: The way users search is evolving. When searching for a product, users might type in natural-sounding language or search with images. In return, they want tailored results that are specific to their query.…

  • 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…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Hacker News: Agents Are Not Enough

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    Kurt Seifried
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    Source URL: https://www.arxiv.org/pdf/2412.16241 Source: Hacker News Title: Agents Are Not Enough Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution and limitations of AI agents, emphasizing that while advancements exist, they are not sufficient for widespread success. It proposes a new ecosystem that integrates agents, user representations (Sims), and Assistants,…

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

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    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…

  • Hacker News: Magna: Embedding similarity search tool for searching within large documents

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    system automation
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    Source URL: https://github.com/yousef-rafat/Magna Source: Hacker News Title: Magna: Embedding similarity search tool for searching within large documents Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into a tool named Magna, which employs Embedding Similarity Search, a method leveraged in large language models (LLMs). This functionality allows for semantically understanding and…

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…

  • Hacker News: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG

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    system automation
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    Source URL: https://news.ycombinator.com/item?id=42504661 Source: Hacker News Title: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project that allows users to create an AI-powered chatbot for document analysis using a Retrieval Augmented Generation (RAG) framework. This is particularly relevant for…