harvard-edge/cs249r_book
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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README & documentation
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English • 中文 (earlier version) • 日本語 (earlier version) • 한국어 (earlier version) An open textbook series on how machine learning systems are built and why they are built that way, with companion tools for building, measuring, and teaching them. 📘 Textbook Series • 📗 Vol I • 📘 Vol II (Preview) • 🟣 Vol III (Draft) • 🌲 Vol IV (Draft) 🔥 TinyTorch • 🔬 Labs • 🧰 Kits • 🔮 MLSys·im • 🎓 Instructors • 💼 StaffML 📚 Volume I is forthcoming in print from MIT Press. A model that scores well on a benchmark still has to fit in memory, meet a latency budget, stay within a power limit, and fail safely in front of real people. Those constraints decide the architecture, and they follow laws that outlast any framework or chip. Memory bandwidth, network latency, energy, and failure rates govern a microcontroller with 256 KB of…
Read the full README ↗ · Preview checked 2026-11-01T14:48:58.031Z
Inside the original README — Document outline
- Machine Learning Systems
- Why This Curriculum Exists
- What You Will Learn
- The Four Volumes
- Start Here
- How the Material Is Made
- FAQ
- Support This Work
- Contributing
- License
- Contributors
- 📖 Textbook Contributors
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What this repository does
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Repository facts
- Owner
- harvard-edge
- Primary language
- Python
- Stars
- 29,757
- Forks
- 3,680
- Open issues + pull requests
- 8
- License
- Other
- Archived
- No
- Default branch
- dev
- Created
- 2023-09-06T19:31:06.000Z
- Last push
- 2026-11-01T12:28:59.000Z
Topics and intended use
Owner-supplied topics: agentic-ai, ai-agents, artificial-intelligence, cloud-ml, computer-systems, courseware, deep-learning, edge-machine-learning, embedded-ml, embodied-ai, machine-learning, machine-learning-systems, mlsys, mobile-ml, physical-ai, robotics, textbook, tinyml
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