Online or in-print, you can’t avoid all the hype around the new AIs like ChatGPT. They are going to take over the world! But first they are going to replace lawyers, doctors, accountants, marketing departments, script writers… and on…
Or maybe… they are yet another tool that will help – in powerful ways – but not replace any of those groups or replace you. In fact, they are already helping in many fields and have been before all the press coverage started. But they are also getting people into trouble. And they can get you into trouble, or hurt your business results, if you don’t understand their limits and uses.
In this class you will learn how Large Language Models (like ChatGPT) work (and how they don’t). You will learn how they can get people into trouble so you will have a better chance to avoid that. And you will learn a few, basic, ways they can be used, after all, to help you with your small business.
If you can, please bring a laptop or tablet so you can setup a free ChatGPT account (if you don’t have one) and can tailor some of the class examples to your own business interests. However, a computer is not required to benefit from the class – we will be running examples and results on the projector screen as well.
This is not a technical class. We will not get into APIs and will only talk about the model parameters as part of showing, in a non-technical way, how the models work. We will also not debate whether they will replace all those professional groups “in a few years” because a) they won’t because they can’t by their very nature and b) we’re going to spend the class time talking about how small business owners can safely and productively use the tools today.
Instructor: Michael Truffa
Michael Truffa has been involved in a range of technology roles starting in the 1970s continuing on to today – doing application scripting, web & back-end programming, data science, error analytics, team management, and more. He also has a wide range of non-computer experience including roles in direct & b2b sales, as a mechanical & electrical technician in the oilfield, retail, and more that help inform his pragmatic view of how computers can, and sometimes can’t, help people do real-world jobs.