Generative AI with LLMs (GSERM Ljubljana 2024)

Basic knowledge of Python programming and familiarity with Machine Learning

Course leader

Kunpeng Zhang from Smith School of Business, University of Maryland, United States

Target group

Prerequisites (knowledge of topic)
Basic knowledge of Python programming and familiarity with Machine Learning

Course aim

On successful completion of this course, students will be able to:

– Understand the fundamentals of Generative AI and Large Language Models.
– Understand how to Implement and fine-tune LLMs for various tasks.
– Evaluate the performance of LLMs using various metrics.
– Understand the ethical and societal implications of using LLMs.
– Develop their own projects utilizing Generative AI.

Credits info

4 EC
At the end of the course, participants receive a Certificate of Attendance and a Transcript of Records (if taking part in final examination).

Fee info

CHF 1000: Flat early bird discount worth CHF 100.00 (valid until 31 October 2023)

Scholarships

No.