Key updates to the Gemini Batch API 📢 - Supports the Gemini Embedding model - OpenAI SDK compatibility for submitting and processing batches - Enables asynchronous processing at lower cost Get started: https://goo.gle/3K4y7Xf
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.
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https://goo.gle/ai-devs
External link for Google AI for Developers
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- Technology, Information and Internet
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- 10,001+ employees
Updates
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Generate and edit images with the AI SDK and Gemini 2.5 Flash Image 🍌 https://goo.gle/41Zj4Eu > Use generateText or streamText functions to create images > Edit images using natural language instructions to add elements, modify styles or transform them while keeping core characteristics
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Dive deep into the Gemini CLI! 🧑💻 In this video, Google DeepMind engineer Mark McDonald walks through the basics of getting started, demos power features, and shares how the Gemini CLI works. Check out the video to get started: https://goo.gle/46q6gs7
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🛠️ Build two practical AI agents with Gemini, CopilotKit, and LangChain: a Post Generator for social content and a Stack Analyzer for GitHub repos. - The Post Generator agent uses live web search via the Gemini API to draft relevant content, moving beyond static knowledge bases. -The Stack Analyzer agent inspects GitHub repositories, identifies the tech stack, and creates structured reports. Learn more:https://goo.gle/4848znl Start building: https://goo.gle/46pSrKi
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See EmbeddingGemma in action. “The Semantic Galaxy” demo uses the model’s small size and semantic embedding capabilities to map text input as a searchable interactive 3D galaxy that runs locally in your browser. No cloud compute required. Explore the demo: https://goo.gle/4gpe95H
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Get an inside look at Google DeepMind’s unique problem-solving approach to AI development and how new tools like AI Co-scientist make these breakthroughs available for everyone. Pushmeet Kohli, Head of Science and Strategic Initiatives, joins host Logan Kilpatrick to explore the intersection of AI and scientific discovery in this episode of Release Notes. Watch the full podcast: https://goo.gle/3VeZuQQ
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Passionfroot built an AI Campaign Strategist with Gemini 2.5 Flash to scale creator marketing. It uses structured output for UI control and agentic retrieval-augmented generation (RAG), speeding up campaign launches by ~5x. Learn how: https://goo.gle/3Vb6vCe
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VaultGemma is the world's most capable differentially private LLM 🔒 How do you train LLMs without them memorizing sensitive data? Differential Privacy is a key, but there are complex trade-offs in performance and cost. Our new research establishes the first scaling laws for DP, setting a new bar for large-scale DP LLM pre-training. Explore the scaling laws, key findings, and more: https://goo.gle/48fQuCx Download the weights: Hugging Face: https://goo.gle/41T8tei Kaggle: https://goo.gle/4ntT6RR Keras: https://goo.gle/3K062jN
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Cut down the boilerplate and get back to the code with two new extensions for the Gemini CLI that integrate directly into the workflow you already have. 1. Stop wrestling with deployment scripts: Remember the whole build → containerize → push → configure dance? Now, it's just one command. /deploy sends your app straight from your local workspace to a public URL on Cloud Run. 2. Shift security left, without leaving your terminal: Instead of waiting for a CI pipeline to flag issues, you can now run /security:analyze on your staged changes. It gives you actionable feedback to fix vulnerabilities on the spot—you can even ask Gemini to implement the fixes for you. Use Gemini to augment the developer workflow, not get in the way of it. Get started now: https://goo.gle/4n3h1I2