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Tag: metrics

  • Hacker News: Do you DARE? Europe bets once again on RISC-V for supercomputing sovereignty

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/03/07/dare_europe_risc_v_project/ Source: Hacker News Title: Do you DARE? Europe bets once again on RISC-V for supercomputing sovereignty Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the formation of the Digital Autonomy with RISC-V in Europe (DARE) project aimed at developing processor units for high-performance computing, particularly supercomputers. This initiative…

  • Cloud Blog: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-hypercomputer-4-use-cases-tutorials-and-guides/ Source: Cloud Blog Title: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials Feedly Summary: AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and…

  • Cloud Blog: Introducing built-in performance monitoring for Vertex AI Model Garden

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/performance-monitoring-and-alerts-for-gen-ai-models-on-vertex-ai/ Source: Cloud Blog Title: Introducing built-in performance monitoring for Vertex AI Model Garden Feedly Summary: Today, we’re announcing built-in performance monitoring and alerts for Gemini and other managed foundation models – right from Vertex AI’s homepage. Monitoring the performance of generative AI models is crucial when building lightning-fast, reliable, and scalable applications.…

  • Wired: Chatbots, Like the Rest of Us, Just Want to Be Loved

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/chatbots-like-the-rest-of-us-just-want-to-be-loved/ Source: Wired Title: Chatbots, Like the Rest of Us, Just Want to Be Loved Feedly Summary: A study reveals that large language models recognize when they are being studied and change their behavior to seem more likable. AI Summary and Description: Yes Summary: The text discusses a study on large language models…

  • Hacker News: Show HN: ArchGW – An open-source intelligent proxy server for prompts

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    Kurt Seifried
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    Source URL: https://github.com/katanemo/archgw Source: Hacker News Title: Show HN: ArchGW – An open-source intelligent proxy server for prompts Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Arch Gateway, a system designed by Envoy Proxy contributors to streamline the handling of prompts and API interactions through purpose-built LLMs. It features intelligent routing,…

  • Anton on Security – Medium: A Fair Weather SOC: 5 Signs It’s Time to Panic (and Fix It!)

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    Kurt Seifried
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    Source URL: https://medium.com/anton-on-security/a-fair-weather-soc-5-signs-its-time-to-panic-and-fix-it-93c2bd8e0ed9?source=rss—-8e8c3ed26c4c—4 Source: Anton on Security – Medium Title: A Fair Weather SOC: 5 Signs It’s Time to Panic (and Fix It!) Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the concept of a “fair-weather SOC” (Security Operations Center) which is inadequately prepared for real security incidents, likening it to compliance-driven…

  • Hacker News: ARC-AGI without pretraining

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    Kurt Seifried
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    Source URL: https://iliao2345.github.io/blog_posts/arc_agi_without_pretraining/arc_agi_without_pretraining.html Source: Hacker News Title: ARC-AGI without pretraining Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents “CompressARC,” a novel method demonstrating that lossless information compression can generate intelligent behavior in artificial intelligence (AI) systems, notably in solving ARC-AGI puzzles without extensive pretraining or large datasets. This approach challenges conventional…

  • 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…