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  • FEB. 3, 2026 / AI

    Easy FunctionGemma finetuning with Tunix on Google TPUs

    Finetuning the FunctionGemma model is made fast and easy using the lightweight JAX-based Tunix library on Google TPUs, a process demonstrated here using LoRA for supervised finetuning. This approach delivers significant accuracy improvements with high TPU efficiency, culminating in a model ready for deployment.

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  • JAN. 28, 2026 / Mobile

    LiteRT: The Universal Framework for On-Device AI

    LiteRT, the evolution of TFLite, is now the universal framework for on-device AI. It delivers up to 1.4x faster GPU, new NPU support, and streamlined GenAI deployment for models like Gemma.

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  • JAN. 11, 2026 / AI

    Under the Hood: Universal Commerce Protocol (UCP)

    The Universal Commerce Protocol (UCP) is a new, open-source standard for agentic commerce, co-developed by Google and industry leaders. It establishes a common, secure language to connect consumer surfaces (like Gemini and AI Mode in Search) with business backends, enabling seamless shopping from product discovery to purchase. UCP simplifies integration for businesses, supports various payment providers, and is designed to power the next generation of conversational commerce experiences.

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  • DEC. 19, 2025 / AI

    Real-World Agent Examples with Gemini 3

    Gemini 3 is powering the next generation of reliable, production-ready AI agents. This post highlights 6 open-source framework collaborations (ADK, Agno, Browser Use, Eigent, Letta, mem0), demonstrating practical agentic workflows for tasks like deep search, multi-agent systems, browser and enterprise automation, and stateful agents with advanced memory. Clone the examples and start building today.

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  • DEC. 17, 2025 / AI

    Introducing Agent Development Kit for TypeScript: Build AI Agents with the Power of a Code-First Approach

    Introducing the Agent Development Kit (ADK) for TypeScript, an open-source framework for building complex, multi-agent AI systems with a code-first approach. Developers can define agent logic in TypeScript, applying traditional software development best practices (version control, testing). ADK offers end-to-end type safety, modularity, and deployment-agnostic functionality, leveraging the familiar TypeScript/JavaScript ecosystem.

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  • DEC. 15, 2025 / Mobile

    Introducing A2UI: An open project for agent-driven interfaces

    A2UI is an open-source project for agent-driven, cross-platform, and generative UI. It provides a secure, declarative data format for agents to compose bespoke interfaces from a trusted component catalog, allowing for native styling and incremental updates. Designed for the multi-agent mesh (A2A), it offers a framework-agnostic solution to safely render remote agent UIs, with integrations in AG UI, Flutter's GenUI SDK, Opal, and Gemini Enterprise.

    Train a GPT2 model with JAX on TPU for free
  • DEC. 9, 2025 / AI

    Don't Trust, Verify: Building End-to-End Confidential Applications on Google Cloud

    Google Cloud enables end-to-end confidential applications, protecting sensitive data 'in-use' with hardware isolation. The solution combines Confidential Space (TEE/attestation), Oak Functions (private sandbox), and Oak Session (attested end-to-end encryption for scale). This framework anchors user trust in open-source components, proving confidentiality for sensitive workloads like proprietary GenAI models, even when running behind untrusted load balancers.

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  • DEC. 8, 2025 / Mobile

    MediaTek NPU and LiteRT: Powering the next generation of on-device AI

    LiteRT and MediaTek are announcing the new LiteRT NeuroPilot Accelerator. This is a ground-up successor for the TFLite NeuroPilot delegate, bringing seamless deployment experience, state-of-the-art LLM support, and advanced performance to millions of devices worldwide.

    Train a GPT2 model with JAX on TPU for free
  • DEC. 4, 2025 / AI

    Architecting efficient context-aware multi-agent framework for production

    ADK introduces **Context Engineering** to scale AI agents beyond large context windows. It treats context as a compiled view over a tiered, stateful system (**Session, Memory, Artifacts**). This architecture uses explicit processors for transformation, enables efficient compaction and caching, and allows for strict, scoped context handoffs in multi-agent workflows to ensure reliability and cost-effectiveness in production.

    Agent Development Kit: Making it easy to build multi-agent applications
  • DEC. 2, 2025 / AI

    Announcing the Data Commons Gemini CLI extension

    The new Data Commons extension for the Gemini CLI makes accessing public data easier. It allows users to ask complex, natural-language questions to query Data Commons' public datasets, grounding LLM responses in authoritative sources to reduce AI hallucinations. Data Commons is an organized library of public data from sources like the UN and World Bank. The extension enables instant data analysis, exploration, and integration with other data-related extensions.

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