The Generative AI Tech Landscape

Put on your hiking boots and get ready for a grand tour of the tech landscape everyone needs to know about right now.

Everyone's talking about Generative AI and what it can do for their business, their career, their day to day working life. But to really leverage its power the best place to start is by creating your own mind map of the technologies that underpin it.

Our intrepid guide, Kazjon Grace will take us through Language Models and Transformer models and show how they form the backbone of many generative AI systems, enabling machines to understand and generate human-like text.

Next we'll swing by Diffusion Models and learn how they provide a powerful framework for modeling uncertainty and generating high-quality samples.

After that you'll be ready to take on the summit, with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
Head spinning from the dizzying views up here? Don't worry, when we reach the top of the mountain there'll be time for a cool drink.

Unfamiliar with all these terms? Don't worry, that means you're the perfect candidate for this quick trip across the Generative AI Landscape. Come along and meet some fellow travellers!

Dr Kazjon (Kaz) Grace is a Senior Lecturer in Computational Design at the University of Sydney, whose research explores how computers can participate in the design process as partners rather than tools.