01
Models and skills:
Focuses on Core AI, PyTorch.
AI & Machine Learning / 29:21
Dive into Core AI model authoring and optimization
AI & Machine Learningiosipadosmacoswatchos
Key Points
- Covers the complete custom model deployment workflow for Apple silicon with the new Core AI framework.
- Covers powerful techniques for authoring models using custom Metal kernels, alongside platform-aware compression strategies.
- The session moves through Models and skills, Python workflow, Model optimization, Core AI Debugger, Advanced authoring, Custom Metal kernels, and related wrap-up guidance.
- Key concepts include Core AI, Metal, PyTorch, SAM3, Metal tensors, TorchMetalKernel, LLMs, TorchConverter.
- Platform coverage: ios, ipados, macos, watchos.
Condensed Flow
02
Python workflow:
Focuses on Core AI, PyTorch.
03
Model optimization:
Focuses on SAM3.
04
Core AI Debugger:
Focuses on Core AI.
05
Advanced authoring:
Focuses on Core AI.
06
Custom Metal kernels:
Focuses on Metal, Core AI, SAM3, Metal tensors.
07
Model re-authoring:
Focuses on Core AI, PyTorch.
More Detail
Additional details
- Detailed flow: Models and skills -> Python workflow -> Model optimization -> Core AI Debugger -> Advanced authoring -> Custom Metal kernels -> Model re-authoring.
- APIs and concepts to recognize: Core AI, Metal, PyTorch, SAM3, Metal tensors, TorchMetalKernel, LLMs, TorchConverter, KMeansPalettizer.
- Implementation focus: Core AI, PyTorch, SAM3, Metal, Metal tensors, KMeansPalettizer.