Generative AI

AIH01 Beyond ChatGPT - Imagine Your Mind Blown


8:00am - 9:15am

Level: Introductory

Andreas Erben

CTO for MR and Applied AI


Almost everybody has heard about ChatGPT, but the story does not stop there. Imagine you asking your computer how it would look like to have your mind blown in abstract art and it generates a selection of images that each blows your human mind?

This is a very hands-on session demonstrating advanced concept of today's AI including ChatGPT/GPT-4, DALL-E, Midjourney, and similar models.

In this session you will also receive actionable information about how to run some of those models and understand the business value of using those models.

Applied Artificial intelligence combined with vast computing resources and enormous trained models can accomplish amazing feats when it comes to working with data including semantics, context, subtext, and all sorts of relationships that you could imagine.

We will look at some of those services, solutions, and products, many of them in the cloud, that enable scenarios that many of us would have thought impossible only a few years ago.

Expect to start working on textual data with simple scenarios like classifying information such as company types, we will journey on to summarize or rewrite text, or to come up with a representative title. We then explore further creating creative text or completing a story. This includes the capability to work with source code such as written in .NET favorite's C# or Python through GitHub Co-Pilot or OpenAI's Codex.

This is actionable information to anybody who has to deal with text today.

Then we go towards incorporating other modalities, specifically generating images and visual art with services such as DALL-E 2.

We discuss the upcoming world of "multi-modal" models and how they are already appearing in products and services.

We will finish asking - are computers dreaming yet? Am I imagining your mind blown?

You will learn:

  • The type and scale of the new generation of large AI models
  • See in action what large AI models can accomplish
  • About specific relevant use cases and so-called "prompt engineering"