This guide is a (currently under construction) basic introduction to large language model generative AI. This is not meant to be a definitive guide, nor is it to be considered "complete." I appreciate any feedback, comments, and requests for how this guide can be more useful to you.
Please contact me via my email, found at the bottom of this page. ~Claire Ehrlich
See the research guide that the library has created for students about Generative AI. Please feel free to share it with students. Send suggestions or feedback to Claire:
Knowing how Generative AI works makes it easier to understand what gAI chatbots are good at (and what they're not).
Generative Artificial Intelligence chatbots like ChatGPT or Bing Chat are called Large Language Models, because they are "trained" on huge amounts of data, usually a significant percentage of the information that's already been published on the internet. The models use this vast amount of data to learn to predict what is most likely to come next.
ChatGPT is like Kleenex or Band-Aids: a specific generative AI that many people use to refer to all generative AI. It's a good one to start your AI journey with, but by no means the only one (see below).
There are plenty of tutorials out there on how to use ChatGPT! Here is just one for beginners; the YouTuber starts the viewer off with how to create an account.
video: "ChatGPT Tutorial - A Crash Course on Chat GPT for Beginners" by Adrian Twarog. Standard YouTube license applies
While ChatGPT is talked about quite a bit, it is only the most widely-known of several generative chatbots. Here is a partial list of other natural language processor AI:
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