Reference Professor: Giovanni Colavizza. Doctoral Credits: 1 (15h lectures). Assessment: Pass/Fail. Years: I, II, III. 8-10 April 2026
Date:
Event location: 8 April: AULA B via Centotrecento 18; 9 and 10 April: AULA 6, via Zamboni 34
Type: Curricular Class
This course provides a practical introduction to Large Language Models (LLMs), such as ChatGPT, in humanities research. Students will explore the mainstream LLM platforms and their functionalities. Example applications to support research tasks will be presented and worked on. By the end, participants will have hands-on experience with LLM tools and workflows that can enhance their academic research.
There are no prerequisites.
Programme:
1. LLM Fundamentals & Tools + practical examples and exercises
2. Prompt Engineering & Retrieval Augmented Generation + practical examples and exercises
3. Legal AI, Bias and Ethics + own project work
1 Doctoral Credit = 15h lectures
1 Doctoral Credit = 5h lectures
1 Doctoral Credit = 5h lectures
1 Doctoral Credit = 10h lectures
Check the PhD Agenda