| info |
increasingly, natural language question answering systems and database-style analytics systems are converging: with overlapping missions across agentic "deep research" systems and multimodal data lake integration systems.
this seminar will explore the common ideas, principles, and architectures behind high-performance data-centric AI systems. we will study how to develop, efficiently train, and deploy advanced systems like large-scale generative models and compound AI systems across heterogeneous hardware and distributed platforms. topics include modern distributed data systems, parallel and distributed ML/AI frameworks for training and inference, modular AI systems, memory + I/O-aware algorithm design, retrieval-augmented generation, planning frameworks, and agentic orchestration. |
| instructors |
zack ives
zives [at] cis
varun jana
jvarun [at] cis
ryan marcus
rcmarcus [at] cis
|
| meeting |
time: wed + fri @ 1:45-3:14p place: agh 315 |