Generative AI Aspects Explained

by Kevin O'Neill

The following are core generative artificial intelligence (AI) aspects explained with key examples. Each aspect is grouped into one of the contextual learning, agents, fine-tuning, retrieval augmented generation, evaluation metrics, foundation models and transformers. Finally, example generative AI prompts to leverage, using the aspects is given.

Overview of Generative AI
Generative AI Aspects
Using Generative AI
Contextual Learning Model
Agents
Fine Tuning
Retrieval Augmented Generation
Evaluation Metrics
Foundation Models
Transformers
About the

120 pages, Kindle Edition

Published February 10, 2025

About the author

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Disambiguated authors:
(1) Kevin O'Neill - Comic Illustrator (Current Profile)
(2) Kevin O'Neill - Irish journalist, Athlone, Football, Who Needs Cantona...
(3) Kevin O'Neill - American, Liberal Arts, Experiential Learning Int'l
(4) Kevin O'Neill - Rand, PRGS, Military Personnel
(5) Kevin O'Neill - KMO, IT, SharePoint, Quizzes, Trivia, Management
(6) Kevin O'Neill - Ph.D, U of Redlands, Death, Internet Afterlife
(7) Kevin O'Neill - André Gide, Roman d'Aventure, Literary Analysis
(8) Kevin O'Neill - Movie Franchises
(9) Kevin O'Neill - ISIS, Nuclear Weapon Program Assessment
(10) Kevin O'Neill - Boston College, Ireland, rural society, famine, Atlantic economy
(11) Kevin O'Neill - Co-author and husband of Mary O'Neill, Religious
(12) Kevin O'Neill - UXO, Engineering, Dartmouth, SPIE, IEEE, NSF
(13) Kevin O'Neill - Narrator