Resources

Core ML

Integrate machine learning models into your app with Core ML frameworks. Your app uses Core ML APIs and user data to make predictions, and to train or fine-tune models, all on a person’s device.

• Core ML framework documentation
• View Core ML models

Core ML Tools

Convert models from TensorFlow, PyTorch, and other libraries to Core ML.

• Core ML tools

Machine learning APIs

Bring intelligent on-device machine learning powered features, object detection in images and video, language analysis, and sound classification, to your app with just a few lines of code.

• Vision
• Natural Language
• Speech
• Sound
• Translation

Foundation Models framework

Tap directly into the on-device large language model at the core of Apple Intelligence to power features in your app.

• Foundation Models framework documentation
• Human Interface Guidelines for Generative AI

Foundation Models Adapter Training Toolkit

Bring custom adapters trained for the Foundation Models framework to your app.

• Get started with the Foundation Models adapter training

Create ML

Create ML, included with Xcode, is designed to help you train ML models easily on your Mac, without a deep knowledge of machine learning technologies. The power of Create ML is also available as Swift framework that lets you programmatically experiment and automate model creation in Swift scripts or playgrounds.

• Learn about the Create ML app
• Create ML framework documentation

Metal-powered model training

Leverage Apple silicon and Metal Performance Shaders (MPS) backend for GPU training acceleration.

• PyTorch training on Mac
• Accelerated JAX training on Mac
• MLX: An array framework for Apple silicon

Machine learning research at Apple

Read the latest machine learning research from Apple.
Get updates on upcoming events and stay up to date on all news about machine learning.

Explore our research in machine learning

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