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This commit adds complete documentation for the 5-milestone system that transforms TinyTorch from module-based to capability-driven learning: 📚 Documentation Suite: - milestone-system.md: Student-facing guide with milestone descriptions - instructor-milestone-guide.md: Complete assessment framework for instructors - milestone-troubleshooting.md: Comprehensive debugging guide for common issues - milestone-implementation-guide.md: Technical implementation specifications - milestone-system-overview.md: Executive summary tying everything together 🎯 The Five Milestones: 1. Basic Inference (Module 04) - Neural networks work (85%+ MNIST) 2. Computer Vision (Module 06) - MNIST recognition (95%+ CNN accuracy) 3. Full Training (Module 11) - Complete training loops (CIFAR-10 training) 4. Advanced Vision (Module 13) - CIFAR-10 classification (75%+ accuracy) 5. Language Generation (Module 16) - GPT text generation (coherent output) 🚀 Key Features: - Capability-based achievement system replacing traditional module completion - Visual progress tracking with Rich CLI visualizations - Victory conditions aligned with industry-relevant skills - Comprehensive troubleshooting for each milestone challenge - Instructor assessment framework with automated testing - Technical implementation roadmap for CLI integration 💡 Educational Impact: - Students develop portfolio-worthy capabilities rather than just completing assignments - Clear progression from basic neural networks to production AI systems - Motivation through achievement and concrete skill development - Industry alignment with real ML engineering competencies Ready for implementation phase with complete technical specifications.