EDGE FDE
BeginnerCore AI vs Core ML vs MLX
Learn which Apple stack to use for an on-device model. Core ML, Core AI, and MLX are not the same tool.
For someone who is new to Apple on-device AI and wants a clear pick before they train or ship.
Lessons
Key concepts
- Core ML, Core AI, and MLX are three Apple tools. They are not the same stack.
- Core ML ships classic models in apps. Core AI ships custom neural or generative models on OS 27 or later.
- MLX trains and tests on a Mac. You export before you ship.
- Foundation Models is Apple's system language-model API. It is not a path for your own trained file.
Takeaways
- You can pick one stack from OS target, model job, and whether you are training or shipping.
- You can say one job for each name without swapping them.
- You know the sibling courses for shapes, catalog presets, and the PyTorch to Core AI build.
Agent briefs
Related courses
PyTorch to Core AI in Xcode · Core AI models, typed · Route work to the right Apple model