Experimental News Clipping Site

Tag: building

  • Docker: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner

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    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/run-llms-locally/ Source: Docker Title: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner Feedly Summary: AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Between picking the right model, navigating hardware quirks, and optimizing for performance, it’s easy…

  • Slashdot: Microsoft Pulls Back on Data Centers From Chicago To Jakarta

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/04/03/144259/microsoft-pulls-back-on-data-centers-from-chicago-to-jakarta?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Pulls Back on Data Centers From Chicago To Jakarta Feedly Summary: AI Summary and Description: Yes Summary: Microsoft is reassessing its global data center initiatives, delaying or halting projects significant for AI and cloud infrastructure. This could indicate either a decrease in expected demand for AI services or…

  • NCSC Feed: New guidance on securing HTTP-based APIs

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    by

    Kurt Seifried
    in

    Source URL: https://www.ncsc.gov.uk/blog-post/new-guidance-on-securing-http-based-apis Source: NCSC Feed Title: New guidance on securing HTTP-based APIs Feedly Summary: Why it’s essential to secure your APIs to build trust with your customers and partners. AI Summary and Description: Yes Summary: The text emphasizes the critical importance of API security in establishing trust with customers and partners. This is particularly…

  • Cloud Blog: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/google-bytedance-and-red-hat-improve-ai-on-kubernetes/ Source: Cloud Blog Title: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware Feedly Summary: Over the past ten years, Kubernetes has become the leading platform for deploying cloud-native applications and microservices, backed by an extensive community and boasting a comprehensive feature set for managing distributed systems. Today, we are…

  • Cloud Blog: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/multi-cluster-orchestrator-for-cross-region-kubernetes-workloads/ Source: Cloud Blog Title: Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions Feedly Summary: Today, we’re excited to announce the public preview of Multi-Cluster Orchestrator, a new service designed to streamline and simplify the management of workloads across Kubernetes clusters. Multi-Cluster Orchestrator lets platform and application teams optimize resource utilization, enhance…

  • Cloud Blog: Unlock AI with IT and OT data powered by Manufacturing Data Engine with Cortex Framework

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/manufacturing/google-cloud-manufacturing-data-engine-with-cortex-framework/ Source: Cloud Blog Title: Unlock AI with IT and OT data powered by Manufacturing Data Engine with Cortex Framework Feedly Summary: Breaking down the data silos between IT (business data) and OT (industrial data) is critical for manufacturers seeking to harness the power of AI for competitive advantage. This week, at Hannover…

  • Simon Willison’s Weblog: Half Stack Data Science: Programming with AI, with Simon Willison

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/1/half-stack-data-science/ Source: Simon Willison’s Weblog Title: Half Stack Data Science: Programming with AI, with Simon Willison Feedly Summary: Half Stack Data Science: Programming with AI, with Simon Willison I participated in this wide-ranging 50 minute conversation with David Asboth and Shaun McGirr. Topics we covered included applications of LLMs to data journalism, the…

  • Simon Willison’s Weblog: Pydantic Evals

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/1/pydantic-evals/#atom-everything Source: Simon Willison’s Weblog Title: Pydantic Evals Feedly Summary: Pydantic Evals Brand new package from the Pydantic AI team which directly tackles what I consider to be the single hardest problem in AI engineering: building evals to determine if your LLM-based system is working correctly and getting better over time. The feature…