Experimental News Clipping Site

Tag: lightweight

  • Scott Logic: Leveraging Copilot to rapidly refactor test automation

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    Kurt Seifried
    in

    Source URL: https://blog.scottlogic.com/2025/09/10/leveraging-copilot-for-refactoring.html Source: Scott Logic Title: Leveraging Copilot to rapidly refactor test automation Feedly Summary: This blog explores how to best use GitHub Copilot to swiftly refactor existing test automation AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the challenges and solutions related to test automation, particularly focusing on using…

  • Simon Willison’s Weblog: Introducing EmbeddingGemma

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/4/embedding-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Introducing EmbeddingGemma Feedly Summary: Introducing EmbeddingGemma Brand new open weights (under the slightly janky Gemma license) 308M parameter embedding model from Google: Based on the Gemma 3 architecture, EmbeddingGemma is trained on 100+ languages and is small enough to run on less than 200MB of RAM with…

  • Docker: Hybrid AI Isn’t the Future — It’s Here (and It Runs in Docker)

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/hybrid-ai-and-how-it-runs-in-docker/ Source: Docker Title: Hybrid AI Isn’t the Future — It’s Here (and It Runs in Docker) Feedly Summary: Running large AI models in the cloud gives access to immense capabilities, but it doesn’t come for free. The bigger the models, the bigger the bills, and with them, the risk of unexpected costs.…

  • The Cloudflare Blog: How Cloudflare runs more AI models on fewer GPUs: A technical deep-dive

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    by

    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/how-cloudflare-runs-more-ai-models-on-fewer-gpus/ Source: The Cloudflare Blog Title: How Cloudflare runs more AI models on fewer GPUs: A technical deep-dive Feedly Summary: Cloudflare built an internal platform called Omni. This platform uses lightweight isolation and memory over-commitment to run multiple AI models on a single GPU. AI Summary and Description: Yes Summary: The text discusses…

  • Cloud Blog: Monitor your databases on Compute Engine with Database Center

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/database-center-expands-coverage/ Source: Cloud Blog Title: Monitor your databases on Compute Engine with Database Center Feedly Summary: Database Center is an AI-powered unified fleet management solution that can help you identify and address security risks, performance bottlenecks, and reliability issues for Google Cloud databases including Cloud SQL, AlloyDB, Spanner, Bigtable, Memorystore, and Firestore. Today,…

  • Slashdot: Google Releases Pint-Size Gemma Open AI Model

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/08/14/2150230/google-releases-pint-size-gemma-open-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases Pint-Size Gemma Open AI Model Feedly Summary: AI Summary and Description: Yes Summary: Google has introduced the Gemma 3 270M, a compact AI model optimized for local deployment, which offers significant advantages in terms of privacy and efficiency. While it may not match the performance of larger…

  • Cloud Blog: How ChromeOS devices support health and wellness at Stallant Health

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/how-chromeos-devices-support-health-and-wellness-at-stallant-health/ Source: Cloud Blog Title: How ChromeOS devices support health and wellness at Stallant Health Feedly Summary: Editor’s note: Today’s post is by Randall Steffens, Chief Information Officer for Stallant Health and Wellness, a healthcare practice in Crescent City, California dedicated to whole-person care and wellness. Stallant Health chose ChromeOS devices to support…