Modeling Generative Artificial Intelligence

Loading...
Thumbnail Image

Date

2023

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

19
views
105
downloads

Abstract

The release of ChatGPT-4 has led to the prevalent use of a new term in the field of artificial intelligence (AI): generative AI. This paper aims to understand generative AI more thoroughly and place it within a broader framework of models and their relationship with knowledge. By closely examining AI’s historical development, this paper will first introduce the concept of emergence to distinguish generative AI from other forms of AI. Second, by theorizing generative AI as models, this paper will evaluate their significance in human knowledge production. Third, by classifying generative AI specifically as generative models, this paper will demonstrate their unique potential, especially for art creation.

Description

Provenance

Citation

Citation

Xiong, Haochen (2023). Modeling Generative Artificial Intelligence. Master's thesis, Duke University. Retrieved from https://hdl.handle.net/10161/30246.

Collections


Except where otherwise noted, student scholarship that was shared on DukeSpace after 2009 is made available to the public under a Creative Commons Attribution / Non-commercial / No derivatives (CC-BY-NC-ND) license. All rights in student work shared on DukeSpace before 2009 remain with the author and/or their designee, whose permission may be required for reuse.