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AI primer: panelists define generative models, agents and why the technology feels different now
Summary
At a Columbus Metro Club forum, Nathan Craig of Ohio State explained generative AI and agents, and panelists described how scale, data and compute have shifted AI from narrow tools to a general‑purpose technology with broad applications.
Nathan Craig, associate professor of operations and business analytics at The Ohio State University’s Fisher College of Business, told a Columbus Metro Club audience that ‘‘artificial intelligence is the field that takes software and machines and teaches them to do tasks that would typically require human intelligence.’’ Craig said the recent shift that makes AI feel new stems from scale: vastly larger datasets, bigger models and much greater compute power.
Craig distinguished ‘‘generative AI’’ — systems that output the same type of data they were trained on, such as text from text — from other AI that makes…
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