Lecture – Generative Artificial Intelligence and Large Language Models - 5DV244 - 2026

Date: 2026-09-28 1 Oct 2026, 13:15

Location: Hörsal NAT.D.470

Teacher: Esteban Guerrero (EG)

Week: 40

Generative Artificial Intelligence has transformed how humans interact with AI systems. This lecture introduces the foundations of generative models, transformer architectures, and Large Language Models (LLMs). We examine how these systems generate text, images, and other forms of content, together with their capabilities, limitations, and societal implications.

• Generative Artificial Intelligence
• Generative Models
• Large Language Models (LLMs)
• Transformer Architectures
• Generative Adversarial Networks (GANs)
• Variational Autoencoders (VAEs)
• Applications of Generative AI
• Limitations and challenges of LLMs

• Explain the fundamental concepts behind Generative AI.
• Describe how Large Language Models operate.
• Understand the role of Transformer architectures.
• Compare GANs, VAEs, and LLMs.
• Identify opportunities and limitations of generative AI systems.
• Discuss the impact of Generative AI on society and human-centered applications.