This post demonstrates finetuning FunctionGemma with Tunix, a JAX-based LLM post-training library, on Google TPUs.
This post describes a real-time AI racing coach built by Google Developer Experts using a split-brain architecture tested at Thunderhill Raceway.
LiteRT is Google's universal on-device AI inference framework evolved from TensorFlow Lite, now with full GPU and NPU acceleration across platforms.
This post introduces Gemini CLI hooks, a mechanism to customize the AI agent's behavior by running scripts at predefined lifecycle points without modifying its source code.
This post explains how to fine-tune FunctionGemma, a specialized AI model designed for function calling tasks.
Google introduces the Universal Commerce Protocol (UCP), an open-source standard for powering agentic commerce across retail ecosystems.
This post provides a practical guide to debugging JAX workloads on Cloud TPUs, covering essential tools and their relationships in distributed environments.
This post showcases six open-source frameworks integrated with Gemini 3 to build production-ready agentic AI workflows.
Conductor is a new Gemini CLI extension that introduces context-driven development by storing project specs and plans as persistent Markdown files in the repository.
Gemini 3 Flash is now available in Gemini CLI, bringing a high-efficiency AI model to terminal-based development workflows.
Google introduces Agent Development Kit (ADK) for TypeScript, an open-source framework for building AI agents and multi-agent systems using a code-first approach.
This guide introduces 8 essential multi-agent design patterns using Google's Agent Development Kit (ADK) for building production-grade AI systems.
