Foundation Models Reference

Acerca de

This skill serves as an exhaustive technical manual for developers integrating Apple’s on-device Large Language Models into iOS, macOS, and other xOS platforms. It offers deep-dive documentation on core components such as LanguageModelSession for conversation management, the @Generable macro for type-safe structured output, and the Tool protocol for extending model capabilities with custom code. By providing optimized implementation patterns and real-world examples from WWDC 2025, this reference ensures developers can build privacy-focused, high-performance AI features like content classification and entity detection without leaving the native Apple ecosystem.

Características Principales

• Comprehensive API reference for LanguageModelSession, Tool protocols, and @Generable macros
• Extensive collection of WWDC 2025 code examples for modern xOS development
• Detailed implementation patterns for structured output and constrained decoding
• Guidance on snapshot streaming using PartiallyGenerated types and SwiftUI integration
• Technical specifications for Apple's 3B parameter, 2-bit quantized on-device models
• 61 GitHub stars

Casos de Uso

• Developing structured data extraction tools with compile-time schema validation
• Implementing privacy-first on-device AI features like text summarization and content tagging
• Architecting multi-turn conversational interfaces using native Swift frameworks