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
- Size: 10,400+ tokens of technical content
- Structure: 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.