machine-learning-systems
🚀 Efficient implementations for emerging model architectures
Auto-graded exercises in low-level ML systems: real C++, real CUDA-C on a software GPU (no NVIDIA hardware), deterministic measured gates.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.