Experimental News Clipping Site

Tag: orchestrator

  • Cloud Blog: 5 best practices for Managed Lustre on Google Kubernetes Engine

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-managed-lustre-csi-driver-for-aiml-and-hpc-workloads/ Source: Cloud Blog Title: 5 best practices for Managed Lustre on Google Kubernetes Engine Feedly Summary: Google Kubernetes Engine (GKE) is a powerful platform for orchestrating scalable AI and high-performance computing (HPC) workloads. But as clusters grow and jobs become more data-intensive, storage I/O can become a bottleneck. Your powerful GPUs and…

  • Cloud Blog: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/financial-services/assembling-a-team-of-ai-agents-to-handle-complex-mortgage-questions-at-mr-cooper/ Source: Cloud Blog Title: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions Feedly Summary: In today’s world where instant responses and seamless experiences are the norm, industries like mortgage servicing face tough challenges. When navigating a maze of regulations, piles of financial documents, and the high…

  • AWS Open Source Blog: Strands Agents and the Model-Driven Approach

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/ Source: AWS Open Source Blog Title: Strands Agents and the Model-Driven Approach Feedly Summary: Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle…

  • Cloud Blog: Chat with your data from anywhere: Announcing Google’s Conversational Analytics API

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/understanding-lookers-conversational-analytics-api/ Source: Cloud Blog Title: Chat with your data from anywhere: Announcing Google’s Conversational Analytics API Feedly Summary: Decision-makers, employees, and customers all need answers where they work: in the applications they use every day. In recent years, the rise of AI-powered BI has transformed our relationship with data, enabling us to ask…

  • Cloud Blog: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-a-real-time-voice-agent-with-gemini-adk/ Source: Cloud Blog Title: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol Feedly Summary: Building advanced conversational AI has moved well beyond text. Now, we can use AI to create real-time, voice-driven agents. However, these systems need low-latency, two-way communication, real-time information retrieval, and the ability…

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • Cloud Blog: A guide to converting ADK agents with MCP to the A2A framework

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/unlock-ai-agent-collaboration-convert-adk-agents-for-a2a/ Source: Cloud Blog Title: A guide to converting ADK agents with MCP to the A2A framework Feedly Summary: The evolution of AI agents has led to powerful, specialized models capable of complex tasks. The Google Agent Development Kit (ADK) – a toolkit designed to simplify the construction and management of language model-based…

  • Cloud Blog: GKE workload scheduling: Strategies for when resources get tight

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-features-to-optimize-resource-allocation/ Source: Cloud Blog Title: GKE workload scheduling: Strategies for when resources get tight Feedly Summary: As a customer of Google Kubernetes Engine (GKE), you’ve selected a container runtime with a high degree of managed operations, encompassing everything from automatic upgrades to effortless node management. This inherent efficiency allows you to focus more…