| KEYWORD |
Area Engineering
Fine-tuning LLMs to Enhance Education Experience and User Interaction for Smart Waste Management
Reference persons BARTOLOMEO MONTRUCCHIO
Description
The thesis student will work on introducing an LLM model that allows users to improve their learning experience in separate waste collection.
In detail, the thesis student will have to:
- define the knowledge base with the support of company experts;
- identify the LLM model best suited to the purpose;
- customize the template to make it serve your purpose;
- implement an API that takes advantage of the created model.
For more information, don't hesitate to get in touch with Bartolomeo Montrucchio, Antonio Marceddu, and Federico Fedi at the following emails:
bartolomeo.montrucchio@polito.it
antonio.marceddu@polito.it
federico.fedi@re-learn.eu
Deadline 18/07/2025
PROPONI LA TUA CANDIDATURA