Apple Foundation Models Framework - AI Training Dataset

The only comprehensive training dataset for Apple's Foundation Models Framework (iOS 26)

What You Get

Nine technical specification files for training LLMs on Apple's Foundation Models framework:

1. Core Framework Guide
   FoundationModels-CoreFramework.md

• SystemLanguageModel availability
• LanguageModelSession management
• Response generation
• Context handling

2. Advanced Implementation Guide
   FoundationModels-AdvancedImplementation.md

• @Generable/@Guide macros
• Constrained decoding
• Tool protocol
• Performance optimization

3. Strategic Features Guide
   FoundationModels-StrategicFeatures.md

• Adapter training toolkit
• ToolOutput design patterns
• Apple's AI strategy

4. Performance Profiling & Measurement Specifications
   FoundationModels-PerformanceProfiling.md

• Foundation Models Instrument
• TPS measurement methodology
• Bottleneck identification

5. LanguageModelFeedbackAttachment Specifications
   FoundationModels-LanguageModelFeedback.md

• LanguageModelFeedbackAttachment API
• Submission workflows
• Collaborative improvement loops

6. Prompt Engineering Specifications
   FoundationModels-PromptEngineering.md

• Instructions vs prompts architecture
• Xcode 26 #Playground directive
• Production implementation guidelines

7. Dynamic Schema Specifications
   FoundationModels-DynamicSchemas.md

• DynamicGenerationSchema API
• Runtime schema generation
• Schema composition patterns

8. Background Processing Specifications
   FoundationModels-BackgroundProcessing.md

• BGProcessingTask implementation
• CPU-only execution requirements
• Background generation patterns

9. Production Swift Implementation
   FoundationModelsFrameworkGenericRecipeGenerator.swift

• Complete working example
• Generic AIGeneratorService class
• SwiftUI integration
• Error handling patterns

Training Target

LLMs lacking iOS 26 Foundation Models framework knowledge for accurate code generation and technical guidance.

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, including complete Swift file.

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 + Swift source code
• Size: 18,000+ 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
• Build complete production implementations with proper error handling
• Configure background processing for AI tasks
• Create dynamic schemas at runtime

Formatted for immediate AI training integration. No preprocessing required.