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What is Core AI:
Focuses on Core AI, Apple Intelligence, Instruments.
AI & Machine Learning / 20:43
Meet Core AI
AI & Machine Learningiosipadosmacoswatchos
Key Points
- Covers Core AI, Apple new framework for on-device AI model deployment.
- Tour the ecosystem, from Python libraries for converting, authoring, and optimizing models, to a Swift API for simple plug-and-play inference and advanced use cases with strict.
- Covers the new Core AI models repository with ready-to-run examples for popular architectures.
- See how deep Xcode integration, including ahead-of-time model compilation, streamlines the workflow so developers can deliver smarter, more responsive app experiences.
- The session moves through What is Core AI, Model conversion, App integration, Profiling with Instruments, Optimizing performance, Additional features, and related wrap-up guidance.
- Key concepts include Core AI, Apple Intelligence, Instruments, PyTorch, Metal, Foundation Models, TorchConverter, NDArray.
Condensed Flow
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Model conversion:
Focuses on PyTorch, Core AI.
03
App integration:
Focuses on Core AI.
04
Profiling with Instruments:
Focuses on Instruments.
05
Optimizing performance:
Focuses on Core AI.
06
Additional features:
Focuses on Core AI, Metal.
07
Specialization:
Focuses on Core AI, Foundation Models.
More Detail
Additional details
- Detailed flow: What is Core AI -> Model conversion -> App integration -> Profiling with Instruments -> Optimizing performance -> Additional features -> Specialization.
- APIs and concepts to recognize: Core AI, Apple Intelligence, Instruments, PyTorch, Metal, Foundation Models, TorchConverter, NDArray, AIModel, InferenceFunction.
- Implementation focus: Core AI, TorchConverter, Metal, Foundation Models, Instruments, AIModel, InferenceFunction, PyTorch.