Experimental News Clipping Site

Tag: data generation

  • Cloud Blog: Now GA: C4 VMs with Local SSD, bare metal, and larger shapes, on Intel Xeon 6

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/c4-vms-based-on-intel-6th-gen-xeon-granite-rapids-now-ga/ Source: Cloud Blog Title: Now GA: C4 VMs with Local SSD, bare metal, and larger shapes, on Intel Xeon 6 Feedly Summary: We’re thrilled to announce a significant expansion of our C4 virtual machine series, with the general availability of 28 powerful new shapes. This expansion introduces C4 shapes with Google’s next-gen…

  • Docker: AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/ai-powered-mock-apis-for-testing-with-docker-and-microcks/ Source: Docker Title: AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs Feedly Summary: The non-deterministic nature of LLMs makes them ideal for generating dynamic, rich test data, perfect for validating app behavior and ensuring consistent, high-quality user experiences. Today, we’ll walk you through how to use Docker’s Model…

  • Cloud Blog: What’s new with BigQuery AI and ML?

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-adds-new-ai-capabilities/ Source: Cloud Blog Title: What’s new with BigQuery AI and ML? Feedly Summary: At Next ’25, we introduced several new innovations within BigQuery, the autonomous data to AI platform. BigQuery ML provides a full range of AI and ML capabilities, enabling you to easily build generative AI and predictive ML applications with…

  • Cloud Blog: 229 things we announced at Google Cloud Next 25 – a recap

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/google-cloud-next-2025-wrap-up/ Source: Cloud Blog Title: 229 things we announced at Google Cloud Next 25 – a recap Feedly Summary: Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions,…

  • Cloud Blog: What’s new with BigQuery — the autonomous data-to-AI platform

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-emerges-as-autonomous-data-to-ai-platform/ Source: Cloud Blog Title: What’s new with BigQuery — the autonomous data-to-AI platform Feedly Summary: Data is the fuel for AI, and organizations are racing to leverage enterprise data to build AI agents, intelligent search, and AI-powered analytics for productivity, deeper insights, and a competitive edge. To power their data clouds, tens…

  • Cloud Blog: What’s new for Data Analytics in the AI driven, autonomous and agentic era

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/data-analytics-innovations-at-next25/ Source: Cloud Blog Title: What’s new for Data Analytics in the AI driven, autonomous and agentic era Feedly Summary: Today’s fast-paced environment demands more than just data access; it requires a real-time data activation flywheel. A new reality is emerging where AI, infused directly into the data landscape, works hand-in-hand with intelligent…

  • CSA: How IT, Security, & Data Teams Help Businesses with AI

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    Kurt Seifried
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    Source URL: https://bigid.com/blog/how-information-technology-security-and-data-teams-help-with-ai/ Source: CSA Title: How IT, Security, & Data Teams Help Businesses with AI Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the critical role of data teams in enabling AI technologies, particularly large language models, to function effectively. It highlights the importance of clean and organized data for AI…

  • Hacker News: (Recommendation Systems and Search) × LLMs

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    Kurt Seifried
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    Source URL: https://eugeneyan.com/writing/recsys-llm/ Source: Hacker News Title: (Recommendation Systems and Search) × LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in recommendation systems, particularly focusing on how large language models (LLMs) and multimodal approaches are incorporated into these systems to enhance performance. The exploration of unified architectures indicates a…