[#VIRTUAL] PRO Workshop (AI): Artificial General Intelligence with GPT-3 with Open AI


Cameron Vetter
Octavian Technology Group, Principal Architect

Cameron Vetter is a technologist with over 20 years of experience using Microsoft tools and technologies to develop software. He has experience in many roles including Development, Architecture, Infrastructure, Management, and Leadership roles.

Cameron has worked for some of the largest companies in the world as well as small companies getting a breadth of experience helping him understand the needs of different size businesses and different Industries. He is the Principal Architect at the Octavian Technology Group, where he helps clients develop Technical Strategies. I help clients Architect, Design, and Develop software focusing on Deep Learning, Artificial Intelligence, Cloud Architecture, Mixed Reality, and Azure.

Cameron enjoys sharing what he has learned during the past 20 years by speaking at national, regional, and local conferences, including THAT Conference, Microsoft Ignite, The Midwest Architect Community Conference, Milwaukee Code Camp, and at various technology user groups.

In 2019, he was named a Microsoft MVP for Artificial Intelligence (AI) – one of the first such honorees in the U.S. and has received an MVP award in 2020, 2021 and 2022 as well.

Cameron is also the co-organizer of the Milwaukee Azure User Group and helps organize the Milwaukee Global AI Group, which is known to draw more than 5,000 participants from cities around the world. 


Large Language Models (LLM) have come out of the realm of academia and research and become available to average development teams thanks to the efforts of Open AI and their competitors. Now that we have access to them what can we do with them?

This talk will explore some of the practical uses for GPT-3 made available through Open AI. We will start with a brief introduction to LLM's and transformers and how they bring us a step closer to artificial general intelligence. We will focus on real demonstrations. Each capability will start with a canned demonstration and move on to ad hoc input provided by the audience.

• Text Generation
○ Turn complex text into a simple summary
○ Create an outline of an essay
• Conversation
○ Sarcastic chat bot
• Code Generation
○ Explain Python Code
○ Translate text into programmatic commands
• Question Answering
○ Factual Answering

You will leave this talk with an understanding of Large Language Models and their practical use cases. Walk away inspired on how to apply large language models to your business today!