Tag
MIT News profiles Cathy Wu, an associate professor in CEE and IDSS, whose research applies machine learning and reinforcement learning to design more reliable and efficient transportation systems, and whose early RL-based traffic analysis research went viral.
A free, open-source book titled 'How to Make Your Model Fast' that provides a systems view of efficient machine learning, from hardware to agents, to help optimize model performance.
This blog post introduces LEVI, a framework for AI-driven research for systems (ADRS) that reduces the cost of algorithmic discovery by using smaller models for most mutations and reserving large models for paradigm shifts, achieving 3-7x cost reduction. It argues that ADRS should be integrated into CI/CD for continuous, bespoke optimization per deployment.