Πληροφορίες μαθήματος
The course focuses on the recent developments in Generative AI and Deep
Learning. We will study the basic concepts and methodologies and get
hands-on experience on effective deep learning techniques and best
practices of how to set up, organize and perform AI analytics tasks and
applications. A brief overview of the course content: Transformers and
Large Language Models (LLMs), Fine-tuning Foundation Models, Advanced
Prompt-Engineering, Topics in Natural Language Processing (NLP),
Multimodal and Vision LLMs, Retrieval Augmented Generation Systems
(RAGs), Building AI Agents, Synthetic Data, Agentic Workflows powered by
LLMs, Reasoning Techniques, Explainability, Evaluation.
- Διδάσκων: Haris Papageorgiou