The only comprehensive training dataset for Apple's Foundation Models Framework (iOS 26)
What You Get
Three technical specification files for training LLMs on Apple's Foundation Models framework:
1. Core Framework Guide
SystemLanguageModel availability, LanguageModelSession management, response generation, and context handling.
2. Advanced Implementation Guide
@Generable/@Guide macros, constrained decoding, Tool protocol, and performance optimization.
3. Strategic Features Guide
Adapter training toolkit, ToolOutput design patterns, and Apple's AI strategy.
Why This Dataset is Essential
Current LLMs have zero Foundation Models knowledge. Training cutoffs predate iOS 26. This dataset fills that gap.
No competition. This is the only comprehensive Foundation Models training data available.
Production-tested. Code examples from actual iOS 26 beta implementation.
Perfect For
AI companies building iOS development assistants
Enterprise teams training internal coding AI tools
Educational institutions developing AI tutoring systems
Consulting firms creating specialized AI solutions
Training Specifications
Format : Markdown optimized for LLM consumption
: Markdown optimized for LLM consumption Size : 10,400+ tokens of technical content
: 10,400+ tokens of technical content Structure : Progressive complexity from basic to advanced
: Progressive complexity from basic to advanced Accuracy: Production-tested code examples
What Your AI Will Learn
Generate accurate Foundation Models Swift code
Explain @Generable/@Guide constraints and usage
Implement Tool protocol for extending capabilities
Provide performance optimization guidance
Understand Apple's AI positioning
Formatted for immediate AI training integration. No preprocessing required.