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On November 30, 2022, OpenAI, a small Artificial Intelligence company publicly released a new application, ChatGPT. Two months later, ChatGPT had over 100 million users making it the fastest growing application.
ChatGPT is a new type of application called a Large Language Model (LLM). There are numerous LLMs from many companies including Google, Microsoft, Meta, and OpenAI. Most users communicate with LLMs through a low-code natural language process called Prompting. Today thousands of companies provide training and tools to help users write better Prompts. There also are two lesser-known ways to communicate with LLMs; one is to use an APIs (Applications Programming Interface) and the second is to develop a custom LLM.
In tonight’s talk, Dr. Larry Dribin takes us on a journey to explore Large Language Models, how they work and the things you can do with LLMs beyond prompting.
Dr. Larry Dribin is a semi-retired consultant and educator. He enjoys helping clients understand new technology and helping them implement these technologies to solve their problems. Currently he is researching Large Language Models and how they work as well as how we might regulate these models.
Larry has worked for large Fortune 500 companies as well as small startups. He has had a diversified career with roles in senior management, sales, and development. Larry has assisted clients in a wide variety of industries implementing new technologies, turning around failing projects and helping them comply with government regulations. Most recently, he was a Director in Cap Gemini Ernst & Young’s IT Excellence Practice (ITX) before starting his own consulting company, the Pearl Street Group (PSG), which provides process improvement, measurement, and project management services.
Larry is an adjunct instructor in DePaul University’s College of Computers & Digital Media (CDM) where he has taught courses in Data Analysis, Software Engineering and Measurement, Agile and Object-Oriented Development, Software Processes and Cloud Computing. Larry holds a Ph.D. in Industrial-Organizational Psychology, an MBA in Marketing, and a BS in Industrial Engineering. He is currently co-teaching a course in Artificial Intelligence and Large Language Models.
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