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🔥 Major Improvements: - Removed research papers section (belongs in specific labs as context) - Added clear differentiation for alternative implementations with vehicle analogy - Moved ML Systems book to books section with prominent positioning - Added actual book links (O'Reilly, deeplearningbook.org) where available - Focused on maintainable, stable resources 🎯 Key Differentiations Added: - 'Micrograd teaches engine parts, TinyTorch teaches you to design the whole vehicle' - 'NNFS teaches engine parts, TinyTorch teaches the whole vehicle and drive it' - 'Tinygrad optimizes for speed, TinyTorch optimizes for learning systems thinking' 🏭 Production Focus: - Added industrial tools: W&B, MLOps Community, Papers with Code - Reorganized into: Courses, Books, Alternative Implementations, Production Tools - Removed quickly-outdated content, kept stable educational resources 📖 ML Systems Book Positioning: - Moved Vijay's book from courses to books section - Positioned as 'the perfect companion to TinyTorch' - Added proper book links for maintainability Result: Much more focused, maintainable resource page that complements TinyTorch without duplicating content that belongs in specific labs.