VECTOR | [3-0-0:3] |
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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 |
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L01 (6077) | Th 09:00AM - 11:50AM | Rm 228, E2 | WEI, Jiaheng | 60 Quota/Enrol/Avail For MPhil (DSA) Students only: 20/0/20 For MSc(DCAI) Students Only: 30/0/30 For PhD (DSA) students only: 10/0/10 | 0 | 60 | 0 |