A (maths-free) Introduction to Generative AI

About this presentation

Kazjon Grace will take us through the landscape of modern AI technology. From Large Langage Models and how they enable machines to understand and generate human-like text, to Diffusion Models which provide a powerful framework for modeling uncertainty and generating high-quality samples. Along the way we'll touch on Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), all with the goal of equipping non experts with a broad understanding of the technologies of AI today.