Large language models (LLMs) such as GPT, Llama, Gemini, and Mixtral have the potential to enable a wide range of new applications and to significantly improve the performance of existing systems. The course introduces students to LLMs and teaches them how to employ the models within applications.
The course covers the following topics:
The course participants gain knowledge about the principles of training LLMs. They will be able to identify opportunities for employing LLMs in business applications and will learn to apply prompt engineering techniques as well as agent frameworks for solving complex tasks. In the second half of the course, the participants apply their knowledge in team projects and will report about the results of the projects in the form of a written report as well as an oral presentation.
IMPORTANT: The number of participants for this course is limited. The admission for this course requires two active steps from the side of the students:
We will inform you if you are admitted to the course early in the lecture period (first September week).
In the second half of the course, students will work on applied projects in teams. The grade received for this course is based on the quality of the contents of their project report (70%) and the associated presentation (30%).
There is no dedicated written or oral exam for this course.
Day | Topic | Additional Material |
---|---|---|
05.09.2024 | - no lecture – | - |
12.09.2024 | Lecture: Introduction to Language Models | Tutorials/ |
19.09.2024 | Lecture: Instruction Tuning and RLHF | |
26.09.2024 | Lecture: Prompt Engineering and Efficient Adaptation | |
02.10.2024 | Exercise:Introduction to LangChain | Solution |
10.10.2024 | Lecture: LLM Agents and Tool Use | |
17.10.2024 | Exercise: Introduction to LangGraph | Solution/Project Topics |
24.10.2024 | Project: Introduction to Student Projects | |
31.10.2024 | Project Coaching | |
07.11.2024 | Project Coaching | |
14.11.2024 | Project Coaching | |
21.11.2024 | Project Coaching | |
28.11.2024 | Project Coaching | |
05.12.2024 | Presentation of Project Results |