By: Jonathan McMichael, Undergraduate Success Librarian
AI writing can mimic style, but it cannot mimic substance yet. The release of a powerful, free and easy-to-use large language model platform, Open AI’s ChatGPT, raises interesting questions about the future of writing in higher education.
As the Undergraduate Success Librarian, I have a unique perspective on generative AI, like ChatGPT, that I want to share along with some advice for instructors and students on adapting to AI’s presence in higher education.
What is ChatGPT?
How does it work? ChatGPT is an interface that allows you to interact with artificial intelligence through text inputs and responses. The AI on the other side of the interface is a language model called GPT-3. It produces human-like text by parsing and analyzing the massive corpus of text information (large language) it has been trained on to predict what is likely to come next in a string of words. This makes GPT-3 a type of Generative AI because it uses machine learning to generate new content based on a given set of input data. So, when you give ChatGPT a prompt like “describe losing your sock in the dryer in the style of the declaration of independence” it (in simplified terms) identifies relevant data within its large language dataset, notices patterns within that dataset and then generates a set of text that seems most like the things it identified.*
Editor’s Note: Source was Library Link of the Day
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