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Tag: learning

  • Cloud Blog: MCP Toolbox for Databases: Simplify AI Agent Access to Enterprise Data

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/mcp-toolbox-for-databases-now-supports-model-context-protocol/ Source: Cloud Blog Title: MCP Toolbox for Databases: Simplify AI Agent Access to Enterprise Data Feedly Summary: At Google Cloud Next 25, we announced incredible ways for enterprises to build multi-agent ecosystems with Vertex AI and Google Cloud Databases – including better ways for agents to communicate with each other using Agent2Agent…

  • Cloud Blog: Diving into the technology behind Google’s AI-era global network

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/networking/google-global-network-technology-deep-dive/ Source: Cloud Blog Title: Diving into the technology behind Google’s AI-era global network Feedly Summary: The unprecedented growth and unique challenges of AI applications are driving fundamental architectural changes to Google’s next-generation global network.  The AI era brings an explosive surge in demand for network capacity, with novel traffic patterns characteristic of…

  • Cloud Blog: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-coderabbit-built-its-ai-code-review-agent-with-google-cloud-run/ Source: Cloud Blog Title: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run Feedly Summary: CodeRabbit, a rapidly growing AI code review tool, is leveraging Google Cloud Run to cut code review time and bugs in half by safely and efficiently executing…

  • CSA: AI Red Teaming: Insights from the Front Lines

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    Kurt Seifried
    in

    Source URL: https://www.troj.ai/blog/ai-red-teaming-insights-from-the-front-lines-of-genai-security Source: CSA Title: AI Red Teaming: Insights from the Front Lines Feedly Summary: AI Summary and Description: Yes Summary: The text emphasizes the critical role of AI red teaming in securing AI systems and mitigating unique risks associated with generative AI. It highlights that traditional security measures are inadequate due to the…

  • Slashdot: Can You Run the Llama 2 LLM on DOS?

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/04/21/0026255/can-you-run-the-llama-2-llm-on-dos Source: Slashdot Title: Can You Run the Llama 2 LLM on DOS? Feedly Summary: AI Summary and Description: Yes Summary: The text revolves around an innovative project by an embedded security researcher who successfully ported Llama 2, a large language model (LLM), to run on vintage DOS machines. This challenges the conventional…

  • Simon Willison’s Weblog: Quoting Andrew Ng

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/18/andrew-ng/ Source: Simon Willison’s Weblog Title: Quoting Andrew Ng Feedly Summary: To me, a successful eval meets the following criteria. Say, we currently have system A, and we might tweak it to get a system B: If A works significantly better than B according to a skilled human judge, the eval should give…

  • CSA: Oracle Cloud Breach: Mitigate Attacks with Agentic AI

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/oracle-cloud-infrastructure-breach-mitigating-future-attacks-with-agentic-ai Source: CSA Title: Oracle Cloud Breach: Mitigate Attacks with Agentic AI Feedly Summary: AI Summary and Description: Yes Summary: The text outlines a significant security breach within Oracle Cloud Infrastructure (OCI) affecting its Identity Manager systems. It provides insights into the attack’s anatomy, the vulnerabilities exploited, the impact of data exfiltration, and…

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

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    Kurt Seifried
    in

    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…