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What I Don’t Get About AI . . .

Author(s)
Wright, Randall S.
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Abstract
In a recent MIT News article titled “Explained: Generative AI,” Adam Zewe (Citation2023) writes But what do people really mean when they say ‘generative AI?’ Before the generative AI boom of the past few years, when people talked about AI, typically they were talking about machine-learning models that can learn to make a prediction based on data. For instance, such models are trained, using millions of examples, to predict whether a certain X-ray shows signs of a tumor or if a particular borrower is likely to default on a loan. Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
Date issued
2024-11-05
URI
https://hdl.handle.net/1721.1/164409
Department
Massachusetts Institute of Technology. Office of Strategic Alliances and Technology Transfer. Corporate Relations
Journal
Research-Technology Management
Publisher
Taylor & Francis
Citation
Wright, R. S. (2024). What I Don’t Get About AI . . . Research-Technology Management, 67(6), 47–50.
Version: Final published version
ISSN
0895-6308
1930-0166

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