Queenfadesa, CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0>, via Wikimedia Commons
This guide is intended for members of the Washtenaw Community College community who are interested in learning more about the practical implications of using generative artificial intelligence tools (often called ChatGPT).
Artificial Intelligence (AI): A field encompassing the theory and crafting of computer systems with the capacity to execute tasks traditionally necessitating human intelligence like perception, speech comprehension, decision-making, and language translation.
Chatbot: An interactive software application that imitates human conversation via text or voice interactions, frequently found in online environments.
Generative Pretrained Transformer (GPT): A language model capable of a range of text generation and natural language processing tasks.
Language Model: A machine learning model trained to understand and generate human language, often used in natural language processing tasks.
Large Language Model (LLM): A type of language model characterized by its extensive capacity to understand and generate human language.
Machine Learning: An advanced discipline of artificial intelligence where algorithms learn from data to make informed decisions or predictions.
Natural Language Processing: A subfield of AI that focuses on enabling computers to interact with, process, and generate text or speech as humans do. It involves algorithms and models that help it understand, interpret, and generate human language in a way that is both meaningful and contextually relevant.
(Definitions from AIPRM Glossary)
Part 1 of a five-part course in which Wharton Interactive's Faculty Director Ethan Mollick and Director of Pedagogy Lilach Mollick provide an overview of AI large language models for educators and students. They explain the models work, and how to work effectively with each model, weaving in your own expertise.
For those interested in taking a deeper dive into Large Language Models, the Wharton directors provide more information about a variety of models and discuss how to work effectively with each – with examples, prompts, and guidelines.
