Foundation Models - University of Trento (2025/2026)

Overview

This repository contains notebooks for the lab sessions of the Foundation Models course at the University of Trento for the academic year 2025/2026. The course covers fundamental concepts, architectures, and applications of modern foundation models including large language models, vision transformers, and multimodal systems.

Notebooks

1. LAB 1: Metrics for Natural Language Generation (NLG)
2. LAB 2: Extract latent features from LLM embeddings by training a classification model
3. LAB 3: Generate captions for videos
4. LAB 4: LangChain tutorial

Getting Started

1. Clone the repository:

   git clone https://github.com/username/FM_2025.git
   cd FM_2025

2. Explore the notebooks

Contributing

Please follow the course guidelines for submitting assignments and projects. For questions or issues, contact the course instructors or use the designated communication channels.

License

Course materials are provided for educational purposes. Please respect copyright and licensing terms for external resources.