python
Asked on 07/31/2024
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It looks like you're interested in Python-related content from WWDC. Here are some relevant sessions and segments that discuss Python in the context of machine learning and AI:
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Train your machine learning and AI models on Apple GPUs
- This session covers various aspects of training machine learning models using PyTorch and JAX on Apple GPUs. It includes improvements and new features in these frameworks.
- Training frameworks on Apple silicon
- PyTorch improvements
- ExecuTorch
- JAX features
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Deploy machine learning and AI models on-device with Core ML
- This session discusses deploying machine learning models on-device using Core ML, including the use of ML Tensor for simplifying tasks.
- Integration
- MLTensor
- Models with state
- Multifunction models
- Performance tools
If you have any specific questions or need timestamps for particular topics, feel free to ask!
Deploy machine learning and AI models on-device with Core ML
Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.
Train your machine learning and AI models on Apple GPUs
Learn how to train your models on Apple Silicon with Metal for PyTorch, JAX and TensorFlow. Take advantage of new attention operations and quantization support for improved transformer model performance on your devices.
A Swift Tour: Explore Swift’s features and design
Learn the essential features and design philosophy of the Swift programming language. We’ll explore how to model data, handle errors, use protocols, write concurrent code, and more while building up a Swift package that has a library, an HTTP server, and a command line client. Whether you’re just beginning your Swift journey or have been with us from the start, this talk will help you get the most out of the language.