Bring the power of machine learning to apps and workflows.
Easily integrate the Gemini API, quickly develop prompts, and transform ideas into code to build generative AI applications.
Learn how three different text-based prompts in Google AI Studio work, including freeform prompts, structured prompts, and chat prompts.
Learn to export code and API keys from Google AI Studio, enabling you to integrate the power of Gemini into your Node.js applications.
Choose your own learning path by exploring TensorFlow's curated curriculum and extensive resource library.
Train and deploy your own large language model (LLM) on Android using this toolkit.
Learn how to build and improve on a neural network that can recognize images of clothing.
Open source cross-platform machine learning solutions that can be customized and deployed in just a few lines of code.
Search and discover hundreds of trained, ready-to-deploy machine learning models in one place.
Easy to learn and simple APIs running on top of the TensorFlow machine learning platform.
ML tools optimized for high performance, on-device machine learning across Android and iOS devices, embedded Linux, and microcontrollers.
Developed by Google DeepMind and other teams across Google, Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models.
Experience Gemini 1.5 Pro's 1M context window that unlocks breakthrough experimental features in long-context understanding. Sign up for the waitlist in Google AI Studio.