Experimental News Clipping Site

Tag: large models

  • Cloud Blog: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-your-ai-gke-inference-reference-architecture-your-blueprint-for-production-ready-inference/ Source: Cloud Blog Title: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference Feedly Summary: The age of AI is here, and organizations everywhere are racing to deploy powerful models to drive innovation, enhance products, and create entirely new user experiences. But moving from a trained model in a…

  • Tomasz Tunguz: Small Action Models Are the Future of AI Agents

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/ai-skills-inversion/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, and the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…

  • Tomasz Tunguz: Small Action Models Are the Future of AI Agents

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    by

    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/local-instructions/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, & the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…

  • The Register: AI industry’s size obsession is killing ROI, engineer argues

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    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/07/23/ai_size_obsession/ Source: The Register Title: AI industry’s size obsession is killing ROI, engineer argues Feedly Summary: Huge models are error-prone and expensive Enterprise CIOs have been mesmerized by GenAI claims of autonomous agents and systems that can figure anything out. But the complexity that such large models deliver is also fueling errors, hallucinations,…

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • Cloud Blog: Announcing a new monitoring library to optimize TPU performance

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/new-monitoring-library-to-optimize-google-cloud-tpu-resources/ Source: Cloud Blog Title: Announcing a new monitoring library to optimize TPU performance Feedly Summary: For more than a decade, TPUs have powered Google’s most demanding AI training and serving workloads. And there is strong demand from customers for Cloud TPUs as well. When running advanced AI workloads, you need to be…

  • Cloud Blog: Accelerate your AI workloads with the Google Cloud Managed Lustre

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/google-cloud-managed-lustre-for-ai-hpc/ Source: Cloud Blog Title: Accelerate your AI workloads with the Google Cloud Managed Lustre Feedly Summary: Today, we’re making it even easier to achieve breakthrough performance for your AI/ML workloads: Google Cloud Managed Lustre is now GA, and available in four distinct performance tiers that deliver throughput ranging from 125 MB/s, 250…