Course Information
The goal of this course is to provide students an understanding and overview of elements in modern machine learning systems. Throughout the course, the students will learn about the design rationale behind the state-of-the-art machine learning frameworks and advanced system techniques to scale, reduce memory, and offload heterogeneous compute resources. For this semester, we will also run case studies on modern large language model (LLM) training and serving systems used in practice today. This course offers the necessary background for students who would like to pursue research in the area of machine learning systems or continue to take a job in machine learning engineering.
- Lectures: Monday/Wednesday 3:30pm - 4:50pm.
- Office Hours: Check the time below.
- Announcement or Discussion: Piazza
- Submitting your work: Gradescope
- Contact: Please make a private post in Piazza
- Instructor: Tianqi Chen
- Office hours: upon request
- Instructor: Zhihao Jia
- Office hours: upon request
- TA: Hongyi Jin
- Office hours: Friday 4:30-5:30pm GHC 8115
- TA: Ruihang Lai
- Office hours: Tuesday 10-11am GHC 8228
- TA: Gabriele Oliaro
- Office hours: Monday 5-6pm GHC 8115
- TA: Zhihao Zhang
- Office hours: Wednesday 5-6pm GHC 6121
