| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course delves into the foundational theories and cutting-edge advancements in large language models (LLMs). The course emphasizes LLM's application in real-world scenarios, focusing on topics such as domain-specific LLMs (e.g., continuous pretraining, SFT, and RLHF), data-intensive and document-intensive scenarios (e.g., NL2SQL RAG). Active student participation is encouraged through mini-projects, presentations, and discussions, providing hands-on experience in leveraging LLMs for real-world challenges. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6449) | Mo 06:00PM - 08:50PM | Lecture Hall C | WEI, Jiaheng | 80 Quota/Enrol/Avail For PhD (DSA) students only: 40/0/40 | 0 | 80 | 0 |