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Tag: Gemma 3

  • Cloud Blog: Google I/O 2025: Innovation that drives mission impact

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-io-2025-innovation-that-drives-mission-impact/ Source: Cloud Blog Title: Google I/O 2025: Innovation that drives mission impact Feedly Summary: At Google I/O 2025 we unveiled a suite of groundbreaking AI advancements, signaling a new frontier in how technology will empower organizations everywhere. The new era of innovation is here. Over the two day event, Google showcased everything…

  • Cloud Blog: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-studio-to-cloud-run-and-cloud-run-mcp-server/ Source: Cloud Blog Title: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents Feedly Summary: Cloud Run has become a go-to app hosting solution for its remarkable simplicity, flexibility, and scalability. But the age of AI-assisted development is here, and going from idea to…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

  • Simon Willison’s Weblog: Trying out llama.cpp’s new vision support

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/10/llama-cpp-vision/#atom-everything Source: Simon Willison’s Weblog Title: Trying out llama.cpp’s new vision support Feedly Summary: This llama.cpp server vision support via libmtmd pull request – via Hacker News – was merged earlier today. The PR finally adds full support for vision models to the excellent llama.cpp project. It’s documented on this page, but the…

  • Simon Willison’s Weblog: Note on 20th April 2025

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/20/janky-license/#atom-everything Source: Simon Willison’s Weblog Title: Note on 20th April 2025 Feedly Summary: Now that Llama has very real competition in open weight models (Gemma 3, latest Mistrals, DeepSeek, Qwen) I think their janky license is becoming much more of a liability for them. It’s just limiting enough that it could be the…

  • Simon Willison’s Weblog: llm-fragments-github 0.2

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/20/llm-fragments-github/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-github 0.2 Feedly Summary: llm-fragments-github 0.2 I upgraded my llm-fragments-github plugin to add a new fragment type called issue. It lets you pull the entire content of a GitHub issue thread into your prompt as a concatenated Markdown file. (If you haven’t seen fragments before I introduced…

  • Simon Willison’s Weblog: Gemma 3 QAT Models

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/19/gemma-3-qat-models/ Source: Simon Willison’s Weblog Title: Gemma 3 QAT Models Feedly Summary: Gemma 3 QAT Models Interesting release from Google, as a follow-up to Gemma 3 from last month: To make Gemma 3 even more accessible, we are announcing new versions optimized with Quantization-Aware Training (QAT) that dramatically reduces memory requirements while maintaining…

  • Slashdot: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/04/17/2224205/microsoft-researchers-develop-hyper-efficient-ai-model-that-can-run-on-cpus?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs Feedly Summary: AI Summary and Description: Yes Summary: Microsoft has launched BitNet b1.58 2B4T, a highly efficient 1-bit AI model featuring 2 billion parameters, optimized for CPU use and accessible under an MIT license. It surpasses competitors in…

  • Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…