Generative AI - "..a type of artificial intelligence (AI) system capable of generating text, images, or other media in response to prompts. Generative AI models learn the patterns and structure of their input training data, and then generate new data that has similar characteristics." (Wikipedia)
Large Language Models (LLM) - consist of deep neural networks with billions of trainable parameters, trained on massive datasets of unlabelled text, and have demonstrated impressive results on a wide variety of natural language processing tasks. (Wikipedia)
Machine Learning - the capacity of computers to learn and adapt without following explicit instructions by using algorithms and statistical models to analyze and infer from patterns in data. (Oxford English Dictionary)
Neural Network - an interconnected system inspired by the arrangement of neurons in the nervous system; a program, configuration of microprocessors, etc. designed to simulate the human nervous system (Oxford English Dictionary)
OpenAI - "OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity."
This guide was inspired by Chris Previte's workshop, "ChatGPT and other AI in the classroom. What, me worry?" at the May 2023 Faculty Development Workshop Week. More information on the week can be found here (FPU Faculty only.)
What is Generative AI?
This video (22:07) provides an overview of generative AI, how it is trained, problems it encounters, and possible uses for it.