Large Language Models for Software Engineering

This is the repository for the Large Language Models for Software Engineering course at Politecnico di Torino.

Course information

• A.Y. 2025/26 (1st semester)
• CFU: 6
• Lecturer: Riccardo Coppola
• Co-lecturer: Flavio Giobergia
• LLM course website

Part I - Foundations of Large Language Models

• Lab 01: Introduction to deep learning with PyTorch
• Lab 02: Using transformers (T5) with the HuggingFace suite (tokenizers, models), attention on time series data
• Lab 03: Analyzing Encoder only models (BERT) and Decoder only models (GPT)
• Lab 04: Causal Language Modeling (CLM) and LLMs
• Lab 05: Efficient fine-tuning and inference in LLMs

The labs of Part I have been curated by Claudio Savelli and Flavio Giobergia.

Part II - Applications of LLMs to Software Engineering

• Lab 06: Prompt Engineering and RAG with Llama
• Lab 07: User Stories and Chain Architectures
• Lab 08: ROC evaluations and Router Agents

The labs of Part II have been curated by Riccardo Coppola and Tommaso Fulcini.