With ChatGPT taking center stage since the beginning of 2023, developers who have not had a chance to work with any forms of Artificial Intelligence or Machine Learning systems may find themselves either intrigued by the “maze” of new terminologies, or some may be eager to learn more, while perhaps a smaller group may not actually want to get themselves into a territory that’s unknown to them. 
The truth is that, whether we like it or not, we have all been “thrust” into this new era of computing. Instead of procrastinating, let’s start by learning about Generative AI specifically with this presentation.  We will go over the history and evolution of AI and ML, then look at how it has evolved to where it is today.  We will touch upon as many new concepts that have popped up in the last 6-9 months, which include: Generative AI (GenAI), ChatGPT, Large Language Models (LLMs), Natural Language Processing (NLP), Vector DB, and the growing importance of Vector Search.  We will also point out the new operational concerns when it comes to managing the life-cycle of a machine learning environment.  We will then look at a demo on how Vector Search is being done behind the scenes.  We will discuss the benefits of this new wave of technology as well as the challenges that it brings to the industry and the marketplace.
Mary Grygleski
Mary is a Java Champion, and an experienced, passionate Developer Advocate.  She has serviced companies as an advocate, such as IBM and DataStax in topic areas that include, most recently, GenAI, Streaming systems, Open source, Java, Cloud, and Distributed Messaging systems..  She started as an engineer in Unix/C, then transitioned to Java around 2000 and has never looked back since then.   She is an active tech community builder outside of her day job, and currently the President of the Chicago Java Users Group (CJUG), as well as the Chicago Chapter Co-Lead for AICamp.