what is MLKit
Generated on 8/6/2024
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MLKit is not explicitly mentioned in the provided context. However, the context does cover various machine learning tools and frameworks available on Apple platforms, such as Core ML and Create ML, which are used for deploying and running machine learning models on Apple devices.
For more detailed information on machine learning on Apple platforms, you can refer to the following sessions:
- Explore machine learning on Apple platforms
- What’s new in Create ML
- Bring your machine learning and AI models to Apple silicon
- Platforms State of the Union
If you have any specific questions about these tools or frameworks, feel free to ask!
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.
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.
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.
Platforms State of the Union
Discover the newest advancements on Apple platforms.