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  • NOV. 13, 2025 / AI

    Introducing Metrax: performant, efficient, and robust model evaluation metrics in JAX

    Metrax is a high-performance JAX-based metrics library developed by Google. It standardizes model evaluation by offering robust, efficient metrics for classification, NLP, and vision, eliminating manual re-implementation after migrating from TensorFlow. Key strengths include parallel computation of "at K" metrics (e.g., PrecisionAtK) for multiple K values and strong integration with the JAX AI Stack, leveraging JAX's performance features. It is open-source on GitHub.

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  • NOV. 7, 2025 / AI

    Announcing the Agent Development Kit for Go: Build Powerful AI Agents with Your Favorite Languages

    The Agent Development Kit (ADK), an open-source, code-first toolkit for building powerful and sophisticated AI agents, now supports Go. ADK moves LLM orchestration and agent behavior directly into your code, giving you robust debugging, versioning, and deployment freedom. ADK for Go is idiomatic and performant, leveraging Go's strengths, and includes support for over 30+ databases and the Agent-to-Agent (A2A) protocol for collaborative multi-agent systems. Start building today!

    Agent Development Kit: Making it easy to build multi-agent applications
  • OCT. 29, 2025 / AI

    Introducing the Jules extension for Gemini CLI

    Introducing the Jules extension for Gemini CLI, an autonomous sidekick for developers. It accelerates coding workflows by offloading tasks like asynchronous work, bug fixes, and changes in new branches to Jules, while you stay in flow with Gemini CLI. Get started by installing the extension and using the /jules command to initiate and check task statuses.

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  • OCT. 8, 2025 / Web

    Own your AI: Learn how to fine-tune Gemma 3 270M and run it on-device

    This guide shows you how to fine-tune the Gemma 3 270M model for custom tasks, like an emoji translator. Learn to quantize and convert the model for on-device use, deploying it in a web app with MediaPipe or Transformers.js for a fast, private, and offline-capable user experience.

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  • OCT. 7, 2025 / AI

    Building High-Performance Data Pipelines with Grain and ArrayRecord

    To avoid data bottlenecks when training large models, this guide introduces Grain and ArrayRecord for building high-performance data pipelines.

    The Agentic experience: Is MCP the right tool for your AI future?
  • OCT. 1, 2025 / AI

    Gemini for Home: Expanding the Platform for a New Era of Smart Home AI

    Google Home is enabling new Gemini-powered features for our partners’ devices and launching a new program to help them build the next generation of AI cameras.

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  • SEPT. 26, 2025 / AI

    Apigee Operator for Kubernetes and GKE Inference Gateway integration for Auth and AI/LLM policies

    The GKE Inference Gateway now integrates with Apigee, allowing enterprises to unify AI serving and API governance. This enables GKE users to leverage Apigee's API management, security, and monetization features for their AI workloads, including API keys, quotas, rate limiting, and Model Armor security.

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  • SEPT. 26, 2025 / AI

    Delight users by combining ADK Agents with Fancy Frontends using AG-UI

    The ADK and AG-UI integration enables developers to build interactive AI applications by combining a powerful backend (ADK) with a flexible frontend protocol (AG-UI). This unlocks features like Generative UI, Shared State, Human-in-the-Loop, and Frontend Tools, allowing for seamless collaboration between AI and human users.

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  • SEPT. 24, 2025 / AI

    Introducing the Data Commons Model Context Protocol (MCP) Server: Streamlining Public Data Access for AI Developers

    Data Commons announces the availability of its MCP Server, which is a major milestone in making all of Data Commons’ vast public datasets instantly accessible and actionable for AI developers worldwide.

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  • SEPT. 22, 2025 / AI

    Gemini CLI 🤝 FastMCP: Simplifying MCP server development

    Gemini CLI now seamlessly integrates with FastMCP, Python's leading library for building MCP servers. We’re thrilled to announce this integration between two open-source projects that empowers you to effortlessly connect your custom MCP tools and prompts, directly to Gemini CLI!

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