Google Developers Blog

Gemini 2.5 Flash Image

Explore Gemini 2.5 Flash Image, a powerful new image generation and editing model with advanced features and creative control.

Gemini 2.5 Flash

Gemini 2.5 Flash, is now in preview, offering improved reasoning while prioritizing speed and cost efficiency for developers.

Gemma 3 270M: Compact model for hyper-efficient AI

Explore Gemma 3 270M, a compact, energy-efficient AI model for task-specific fine-tuning, offering strong instruction-following and production-ready quantization.

Gemini 2.5 Pro Preview

Explore the new Gemini 2.5 Pro I/O Edition, featuring enhanced coding performance, video to code capabilities, and improvements for front-end web development.

TensorFlow 1.0 Released

Gemma 3 QAT Models: Bringing AI to Consumer GPUs

Explore Gemma 3 models now offering state-of-the-art AI performance on consumer GPUs with new int4 quantized versions optimized with Quantization Aware Training (QAT).

Improved Gemini 2.5 Flash and Flash-Lite

Google is releasing updated Gemini 2.5 Flash and Flash-Lite preview models with improved quality, speed, and efficiency.

The Agent2Agent Protocol (A2A)

Explore A2A, Google's new open protocol empowering developers to build interoperable AI solutions.

Go is an ideal language for AI-assisted software engineering

As AI shifts software engineering from writing to reviewing, discover how Go's strict compiler and unified toolchain ensure reliable AI-generated code.

Gemma 3n preview: Mobile-first AI

Introducing Gemma 3n – the latest Google open model for accessible AI, featuring unique flexibility, privacy, and expanded multimodal capabilities on mobile devices.

Gemini CLI will stop working from June 18, 2026

Announcement for the sunsetting of Gemini CLI in favor of Antigravity CLI, a more robust, agent-first platform designed to handle the multi-agent complexities of 2026.

Introducing Gemma 3n

Learn how to build with Gemma 3n, a mobile-first architecture, MatFormer technology, Per-Layer Embeddings, and new audio and vision encoders.

Francois Chollet is leaving Google

Today, we're announcing that Francois Chollet, the creator of Keras and a leading figure in the AI world, is embarking on a new chapter in his career outside of Google.

Developer preview of TensorFlow Lite

Enabling developers and organizations to use differential privacy

Whether you're a city planner, a small business owner, or a software developer, gaining useful insights from data can help make services work better and answer important questions. But, without strong privacy protections, you risk losing the trust of your citizens, customers, and users.

Create and edit images with Gemini 2.0 in preview

Explore how to generate and edit images with Gemini 2.0 Flash, now in preview in Google AI Studio

Gemini 4 Argon for Robotics

Discover Gemini 4 Argon for robotics: leading the ERQA benchmark with physical reasoning, zero-shot control, Real2Sim, and agentic workflows.

Text Embedding Models Contain Bias

As Machine Learning practitioners, when faced with a task, we usually select or train a model primarily based on how well it performs on that task. For example, say we're building a system to classify whether a movie review is positive or negative. We take 5 different models and see how well each performs this task:

PaliGemma 2: Powerful Vision-Language Models, Simple Fine-Tuning

Explore PaliGemma 2, which offers scalable performance with multiple model sizes and resolutions, and is designed as a drop-in replacement for existing PaliGemma users.

Imagen 4 is now generally available

Discover Imagen 4 Fast, Google's new speed-optimized text-to-image model, now generally available with Imagen 4 and 4 Ultra in the Gemini API.

Run interactive commands in Gemini CLI

We're excited to announce an enhancement to Gemini CLI that makes your workflow more powerful a...

Gemini Embedding: Powering RAG and context engineering

Explore how organizations leverage Gemini Embedding for context-aware AI systems improving performance, accuracy, and efficiency across diverse industries.

TorchTPU: Running PyTorch Natively on TPUs at Google Scale

Discover TorchTPU, Google’s new engineering stack designed to run PyTorch natively on TPU infrastructure with peak efficiency. Learn how its "Eager First" philosophy and XLA integration simplify model migration while unlocking massive scalability for the next generation of AI.

Start building Actions on Google

The Google Assistant brings together all of the technology and smarts we've been building for years, from the Knowledge Graph to Natural Language Processing. To be a truly successful Assistant, it should be able to connect users across the apps and services in their lives. This makes enabling an ecosystem where…

An upgraded dev experience in Google AI Studio

Explore the upgraded Google AI Studio with Gemini 2.5 Pro, agentic tools, and enhanced multimodal capabilities for developers to build sophisticated AI apps.

Two new Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more

Increased accessibility and cost-efficiency for developers enables you to build a wider range of applications using Google's advanced AI technology.

Project Gameface launches on Android

We've open sourced the code for Project Gameface so developers and enterprises can leverage it to build new experiences with increased accessibility.

XLA: linear algebra library for TensorFlow

Batch Mode in the Gemini API: Process More for Less

Discover how Batch Mode in Gemini API allows developers to submit large jobs, offload processing, and get results in 24 hours, offering simplicity, convenience, and cost-savings.

TensorFlow 0.12 adds support for Windows

Native support for TensorFlow on Windows was one of the first requests we received after open-sourcing TensorFlow. Although some Windows users have managed to run TensorFlow in a Docker container, we wanted to provide a more complete experience including GPU support.