Ask an AI expert: What exactly is the full stack?
A Google expert explains what it means to take a full-stack approach to AI and why it’s been the foundation of our AI work for so long.
Interactions API: our primary interface for Gemini models and agents
Google’s Interactions API is a unified interface for interacting with Gemini models and agents.
DiffusionGemma: 4x faster text generation
An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.
See what 3 builders are making with Gemma 4
Here’s how three creators are building with Gemma 4, our latest and most advanced family of generative AI open models.
Bringing the latest Gemini models to Apple developers
Apple developers can now securely call cloud-hosted Gemini models using the Foundation Models framework, and access Gemini in Xcode.
Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency
We’re releasing Gemma 4 quantization-aware training checkpoints, reducing memory requirements and improving on-device performance.
Kaggle is making AI benchmark creation effortless
Today, we’re launching local development for Kaggle Benchmarks.
Introducing Gemma 4 12B: a unified, encoder-free multimodal model
An overview of Gemma 4 12B, a model designed to bring high-performance multimodal intelligence directly to your laptop.
How we used Gemini to build Google I/O 2026
Learn how Googlers used AI to produce Google I/O 2026.
Take our I/O 2026 quiz, vibe coded in Google AI Studio.
We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.