Applied Generative AI is an area which encompasses creating original and innovative content. This includes integrating technical expertise with management insights, ethical considerations, and human based factors. In this instructor guide, each section provides core and key topical information of value to discuss with example generative prompts which can then be utilized.
Table of Using Instructor Guide Using Generative AI History and Evolution of AI Introduction to LLMs Understanding LLM From Words to Meaning AI Today and in the Future Democratization of Data & The Neural Network Revolution What Can They Do and How Do They Work? Predicting the Neural Networks Autoencoders, Latent Spaces & Embedding Spaces LLMOps (Large Language Model Operations) An Introduction to AI and Ethics Cultivating an AI-Ready Culture Speed of Applied Generative AI Learning Building on LLMs and the Future of Jobs The AI-Enabled Economy
Librarian Note: There is more than one author by this name in the Goodreads database.
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