Andrew Chatfield will set the scene for the use of generative AI in business today. What's hype, what's reality, and what you should be thinking about next.

Join our panel of experts to discuss the practical applications of AI in business right now across a broad range of business functions–from content to customer service. Panelists include Andrew Chatfield, Mathew Patterson from Help Scout, Matthew Newman from TechInnosens, and Scott Burns from the ABC, moderated by Mark Monfort.

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'l 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.

Large language models are the key technology diving the generative AI revolution.

In this session we'll learn more about how they work, and what they can and can't do (yet). We'll touch on fine tuning, training your own models, open source and proprietary models to come away with a sense of the best strategy for specific use cases and organisations.

Almost overnight becoming on of the most popular open source projects on Github, and eliciting enthusiasm across the internet, Auto-GPT aims to perform complex tasks with little human intervention.

But what is Auto-GPT, and autonomous agents more broadly, what can they achieve? What do we need to be concerned about? That's what this session will cover.

A little overlooked in the all the current generative AI hype, Machine Vision has numerous applications. So we'll take a look at the technology and its applications in this session

keen to see some real world applications of these technologies? We've rounded up some recent home grown projects and products to inspire you. Hear from Thierry Wendling from Atomi on LLMs in education, Anna Dixon from the ABC talking about their AI experiments, Ivy Hornibrook on Canva's new AI 'magic design' features and Mihail Dungarov on Applied LLMs in Finance.

Any sufficiently advanced technology is indistinguishable from magic, and the results some people can get from LLMs and image generators and prompts does seem like magic. But is there more to it than just intuition and taste? Can you learn to be better prompt creator? Let's find out! (hint, you can).

Unlike the with the early Web and social media few people are unthinkingly optimistic about AI and its applications.

Our expert panel will consider the harms, risks and challenges these technologies present, to help you minimize them, and mazimimize the value we can gain from AI. Hear from Michael Kollo, Paul Conyngham, Bec Johnson, and Raymond Sun. Moderated by Ajit Pillai.

What's the Australian AI Landscape? Annie Liao, author of a recent excellent investment thesis for Generative AI, and the Generative AI Open Source Australian Market Map introduces us to the local AI startup landscape.

Grab a drink and hear rapid fire introductions from Sydney AI startups.