Generative AI vs. Traditional AI.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2023.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
9/25/202312:00:00AM
Participants/Performers
Presenter: Doug Rose
Description
See the key differences between generative and traditional AI.
Description
Generative AI is a hot topic that's filled with a host of new legal, ethical, and technology issues. Generative AI's development may seem sudden, but it’s still built upon decades of concepts and practices from traditional predictive AI. In this course Doug Rose looks at the differences between traditional and generative AI. Traditional concepts like supervised and unsupervised deep learning networks have inspired newer generative AI concepts like self-supervised learning, foundation models, diffusion models, and generative adversarial networks. To understand where a technology is heading, it's important to know its story. These generative AI tools are a big leap, but they’re still just another chapter in the exciting story of artificial intelligence.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Rose, D. (2023). Generative AI vs. Traditional AI . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Rose, Doug. 2023. Generative AI Vs. Traditional AI. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Rose, Doug. Generative AI Vs. Traditional AI linkedin.com, 2023.
MLA Citation, 9th Edition (style guide)Rose, Doug. Generative AI Vs. Traditional AI linkedin.com, 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.