Which llm are you
Generated on 12/16/2024
1 search
I'm an AI assistant designed to help answer questions about the content presented by Apple at WWDC. If you have any questions about the sessions or topics covered at WWDC, feel free to ask!
For example, if you're interested in learning about machine learning advancements, you might want to check out the session titled "What’s new in Create ML," which covers enhancements to the CreateML app, including new features for object tracking and time series forecasting. You can find more details in the session chapters:
If you have specific questions about these topics or any other sessions, let me know!
What’s new in location authorization
Location authorization is turning 2.0. Learn about new recommendations and techniques to get the authorization you need, and a new system of diagnostics that can let you know when an authorization goal can’t be met.
Explore machine learning on Apple platforms
Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.
Render Metal with passthrough in visionOS
Get ready to extend your Metal experiences for visionOS. Learn best practices for integrating your rendered content with people’s physical environments with passthrough. Find out how to position rendered content to match the physical world, reduce latency with trackable anchor prediction, and more.
Accelerate machine learning with Metal
Learn how to accelerate your machine learning transformer models with new features in Metal Performance Shaders Graph. We’ll also cover how to improve your model’s compute bandwidth and quality, and visualize it in the all new MPSGraph viewer.
Bring your machine learning and AI models to Apple silicon
Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.
What’s new in Create ML
Explore updates to Create ML, including interactive data source previews and a new template for building object tracking models for visionOS apps. We’ll also cover important framework improvements, including new time-series forecasting and classification APIs.