This guide focuses on resources to help students, faculty, and staff navigate the new reality of generative AI tools such as ChatGPT and to understand the impact they will have on teaching, learning, and scholarly research.
Stanford Online, 1/31/23
"Professor Christopher Potts discusses the significance and implications of recent Natural Language Understanding developments including GPT-3. He describes the fundamental building blocks of these systems and describes how we can reliably assess and understand them."
Computerphile, 2/1/23
First half of video is a technical discussion of how ChatGPT is trained. Skip ahead to 15:25 for the broader discussion and implications of AI technology.
Computerphile, 2/16/23
"Mike explains a paper from the University of Maryland, proposing a neat trick to 'watermark' the output of large language models such as ChatGPT. Dr Mike Pound is an image analyst at the University of Nottingham."
