Generative AI : navigating the course to the artificial general intelligence future / Martin Musiol.

Format:

Sound recording

Author/Creator:

Musiol, Martin, author.

Contributor:

Vertullo, Jon, narrator.

Language:

English

Subjects (All):

Artificial intelligence.

Artificial intelligence--Social aspects.

Artificial intelligence--Industrial applications.

Physical Description:

1 online resource (1 sound file (13 hr., 12 min.))

Edition:

[First edition].

Place of Publication:

Rego Park : Ascent Audio, 2024.

[Place of publication not identified] : Ascent Audio, [2024]

System Details:

audio file

Summary:

In Generative AI: Navigating the Course to the Artificial General Intelligence Future, Martin Musiol delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. You'll also find bold predictions about the future emergence of Artificial General Intelligence via the merging of current AI models; fascinating explorations of the ethical implications of AI, its potential downsides, and the possible rewards; and insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts. Perfect for anyone interested in the intersection of ethics, technology, business, and society—and for entrepreneurs looking to take advantage of this tech revolution—Generative AI offers an intuitive, comprehensive discussion of this fascinating new technology.

Participant:

Narrator: Jon Vertullo.

Notes:

Unabridged.

OCLC-licensed vendor bibliographic record.

ISBN:

9781663732699

1663732698

OCLC:

1455346028