01
Packaging:
Focuses on Foundation Models.
AI & Machine Learning / 20:41
Bring an LLM provider to the Foundation Models framework
AI & Machine Learningiosipadosmacosvisionos
Key Points
- Extend the Foundation Models framework by implementing a LanguageModelExecutor for new models.
- Explains how to interface with the LanguageModelSession transcript, manage session state effectively, and optimize KV cache utilization.
- Find out how to support custom segment types and unlock advanced capabilities for the generative AI features.
- The session moves through Packaging, Protocol, Authentication, Customization.
- Key concepts include Foundation Models, LanguageModelExecutor, LanguageModelSession, Private Cloud Compute, Apple Intelligence, MLX, ContextOptions, LanguageModelError.
- Platform coverage: ios, ipados, macos, visionos.
Condensed Flow
02
Protocol:
Focuses on ContextOptions, Foundation Models, LanguageModelError.
03
Authentication:
Focuses on LanguageModel, App Attest.
More Detail
Additional details
- Detailed flow: Packaging -> Protocol -> Authentication -> Customization.
- APIs and concepts to recognize: Foundation Models, LanguageModelExecutor, LanguageModelSession, Private Cloud Compute, Apple Intelligence, MLX, ContextOptions, LanguageModelError, LanguageModel, App Attest, Core AI, EXECutor.
- Version and support notes focus on MLX, Foundation Models.
- Implementation focus: Private Cloud Compute, Apple Intelligence, LanguageModel, Core AI, MLX, EXECutor, ContextOptions, LanguageModelError, Foundation Models, Dynamic Profiles.