Bring the power of machine learning to apps and workflows.
Leverage AI to solve real-world problems
Find solutions to accelerate machine learning tasks at every stage of your workflow.
Explore how to use machine learning
Choose your own learning path by exploring TensorFlow's curated curriculum and extensive resource library.
Build generative AI applications
Tools and APIs to make easy, safe and scalable AI applications using Google's large language models.
Discover how to build with AI
Tools and resources for creating, training, deploying, and managing ML at scale, on-device, on-prem, and in the cloud.
Deploy a large language model on Android
Train and deploy a large language model (LLM) on Android with this interactive toolkit.
Create innovative on-device ML solutions, easily
Open source cross-platform machine learning solutions that can be customized and deployed in just a few lines of code.
Find pretrained models
Search and discover hundreds of trained, ready-to-deploy machine learning models in one place.
Highly-flexible framework for machine learning
Easy to learn and simple APIs running on top of the TensorFlow machine learning platform.
Deploy ML models on mobile and edge devices
ML tools optimized for high performance, on-device machine learning across Android and iOS devices, embedded Linux, and microcontrollers.
Production-level tooling for ML operations
Manage a production pipeline with best practices for data automation, model tracking, performance monitoring, and model retraining.
What’s new in Generative AILearn about the suite of new tools announced at Google I/O that make it easy for developers to build on top of our best large language models.
Introducing PaLM API and MakerSuiteExplore new offerings that make it easy to experiment with Google's language models and prototype quickly.
Bard can help with coding in over 20 programming languagesCollaborate with Bard to generate, explain, and debug code - or export Python code directly to Google Colab.
Accelerate and simplify machine learning with OpenXLALearn more about the open source ML compiler ecosystem co-developed by AI and ML industry leaders, including TensorFlow.
See how developers are solving challenges in AI and machine learning
Explore case studies, articles, interviews, and more.