⚡ The latest updates to Gemini 2.5 Flash and Flash-Lite are here, with improvements in tool use, reliability and efficiency: https://goo.gle/4noWNIX We're sharing these preview models to get our newest improvements into your hands quickly. Access them via the -𝚕𝚊𝚝𝚎𝚜𝚝 alias that allows you to use new features without needing to update your code for each release.
Google AI for Developers
Technology, Information and Internet
AI for every developer. So what will you build?
About us
Our goal is to equip developers with the most advanced models to build new applications, helpful tools to write better and faster code, and make it easy to integrate across platforms and devices.
- Website
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https://goo.gle/ai-devs
External link for Google AI for Developers
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
Updates
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Our latest paper details how EmbeddingGemma delivers powerful text embeddings directly on-device. It achieves SOTA results for models <500M parameters on the MTEB across multilingual, code and English domains. EmbeddingGemma provides exceptional performance-to-cost ratio, making it ideal for on-device applications.
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Check out Genkit Go 1.0, the open-source AI framework for Go. Build scalable, production ready AI apps with the CLI and interactive developer UI → https://goo.gle/48xoZog
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🦾 Introducing Gemini Robotics-ER 1.5, the first thinking model optimized for embodied reasoning. Now available in Preview in Google AI Studio: https://goo.gle/42ah10v The model is purpose-tuned for robotics applications and brings advancements in thinking models to the physical world. New capabilities include: -Powerful spatial reasoning -Advanced agentic behaviors -Flexible thinking budget -Improved safety filters -And more Read the docs: https://goo.gle/4nIO5Vy Explore our Colab Notebook: https://goo.gle/3KptK9j
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Learn how to build AI agents directly from Google experts in this Kaggle course ⬇️
📢 The 5 Day Intensive Course with Google is back and this time we’re focusing on the new frontier: AI agents, autonomous systems that use LLMs to reason and solve problems. To help you develop these skills, we’re hosting the 5-Day AI Agents Intensive with Google from November 10 to 14, and we’d love for you to join! This no-cost course was created by Google ML researchers and engineers to help you understand, build, and deploy the next frontier of AI. Everyday, participants will receive the following: 📚 Daily Assignments This includes the whitepapers, a companion podcast (generated by NotebookLM) and codelabs that you can complete at your own pace. 💬 Discord Discussion Threads Kaggle’s Discord server will have a dedicated channel for focused discussion on the reading. It's an excellent place to find further clarification, surface any questions, and connect with other learners and Google experts. 🎥 Daily Livestream Seminars and AMAs We will go live everyday on Kaggle's YouTube channel, where the authors and course contributors will dive deeper into the topics and answer your burning questions. Plus, we've got fun surprises in store to keep the learning engaging. 🆕 Capstone project Level up your skills and build your portfolio with a real-world capstone project. Compete for prizes like Kaggle badges, swag and the recognition of being celebrated on Kaggle and Google’s social media channel. The capstone project will be launched on the last day of the event - November 14, 2025. Participation will be optional. 👉 For more information and to register visit: https://lnkd.in/euFKe9Qg Hope to see you there!
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Google AI for Developers reposted this
Introducing our public preview of Chrome DevTools Model Context Protocol (MCP), a new way to bring the power of Chrome DevTools directly to your AI agent → https://goo.gle/4pDE6Tk With it, you can: 📈 Run performance traces and automate performance audits ✅ Verify real-time code changes & fixes ⚙️ Diagnose network and console errors, and understand why a feature isn't working as expected ... and so much more! Join our public preview and share your feedback on which capability we should add next.
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Google AI Pro and Ultra subscribers now have access to Gemini Code Assist and Gemini CLI with higher daily limits. Get AI agent and coding assistance powered by Gemini 2.5 right in VS Code, JetBrains IDEs, or your terminal: https: https://goo.gle/4gFfEgh
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EmbeddingGemma and Gemma 3 12B in a practical RAG implementation. This example from Ju-yeong Ji is a semantic search Q&A bot that answers questions about Hollow Knight bosses using the game’s wiki. EmbeddingGemma efficiently compares the similarity of the question to embedded pages from the wiki then it passes the most relevant page to Gemma 3 12B to generate an answer. Try it: https://goo.gle/4ndnNL7
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