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Tag: parameter

  • Cloud Blog: How Jina AI built its 100-billion-token web grounding system with Cloud Run GPUs

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/application-development/how-jina-ai-built-its-100-billion-token-web-grounding-system-with-cloud-run-gpus/ Source: Cloud Blog Title: How Jina AI built its 100-billion-token web grounding system with Cloud Run GPUs Feedly Summary: Editor’s note: The Jina AI Reader is a specialized tool that transforms raw web content from URLs or local files into a clean, structured, and LLM-friendly format.  In this post, Han Xiao details…

  • Cloud Blog: Cloud Storage bucket relocation: An industry first for non-disruptive bucket migrations

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/introducing-cloud-storage-bucket-relocation/ Source: Cloud Blog Title: Cloud Storage bucket relocation: An industry first for non-disruptive bucket migrations Feedly Summary: As your operational needs change, sometimes you need to move data residing within Google’s Cloud Storage to a new location, to improve resilience, optimize performance, meet compliance needs, or simply to reorganize your infrastructure. Yet…

  • AWS News Blog: New Amazon EC2 P6e-GB200 UltraServers accelerated by NVIDIA Grace Blackwell GPUs for the highest AI performance

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/new-amazon-ec2-p6e-gb200-ultraservers-powered-by-nvidia-grace-blackwell-gpus-for-the-highest-ai-performance/ Source: AWS News Blog Title: New Amazon EC2 P6e-GB200 UltraServers accelerated by NVIDIA Grace Blackwell GPUs for the highest AI performance Feedly Summary: Amazon announces the general availability of EC2 P6e-GB200 UltraServers, powered by NVIDIA Grace Blackwell GB200 superchips that enable up to 72 GPUs with 360 petaflops of computing power for…

  • Cloud Blog: Zero-shot forecasting in BigQuery with the TimesFM foundation model

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-timesfm-models-now-in-preview/ Source: Cloud Blog Title: Zero-shot forecasting in BigQuery with the TimesFM foundation model Feedly Summary: Accurate time-series forecasting is essential for many business scenarios such as planning, supply chain management, and resource allocation. BigQuery now embeds TimesFM, a state-of-the-art pre-trained model from Google Research, enabling powerful forecasting via the simple AI.FORECAST function.…

  • Cloud Blog: London Summit: agentic AI leaders, training 100,000 civil servants, AI sovereignty, and more

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/inside-google-cloud/london-summit-2025-gen-ai-agents-transforming-business-civil-service/ Source: Cloud Blog Title: London Summit: agentic AI leaders, training 100,000 civil servants, AI sovereignty, and more Feedly Summary: There’s a buzz of excitement here at Tobacco Dock as we welcome our customers and partners to the Google Cloud Summit London. Together, we’re exploring the essential role Google Cloud is playing in…

  • Cloud Blog: Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-public-sector-supports-ai-optimized-hpc-infrastructure-for-researchers-at-caltech/ Source: Cloud Blog Title: Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech Feedly Summary: For decades, institutions like Caltech, have been at the forefront of large-scale artificial intelligence (AI) research. As high-performance computing (HPC) clusters continue to evolve, researchers across disciplines have been increasingly equipped to process massive datasets,…

  • Docker: Tool Calling with Local LLMs: A Practical Evaluation

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/local-llm-tool-calling-a-practical-evaluation/ Source: Docker Title: Tool Calling with Local LLMs: A Practical Evaluation Feedly Summary: Which local model should I use for tool calling? When building GenAI and agentic applications, one of the most pressing and persistent questions is: “Which local model should I use for tool calling?”  We kept hearing again and again,…