Название: Generative AI : Navigating the Course to the Artificial General Intelligence FutureАвтор: Martin Musiol
Издательство: Wiley
Год: 2024
Страниц: 435
Язык: английский
Формат: pdf (true), epub
Размер: 28.6 MB
An engaging and essential discussion of generative Artificial Intelligence.
In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol―founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys―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
Insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts
Even though AI includes a broad spectrum of intelligent code, the term is often incorrectly used. ML, a part of AI, learns from data. DL, a deeper part of ML, uses layered setups to solve tougher problems. Non-self-learning programs like expert systems don't learn from data, unlike ML and DL.
AI can perform tasks ranging from predefined expert answers, also known as expert systems, to tasks that require human-level intelligence. Think about recognizing speech and images, understanding natural language processing (NLP), making sophisticated decisions, and solving complex problems. For tasks like this, the AI has to train on a respective dataset until it is able to perform the desired activity as well as possible. This self-learning part of AI is referred to as machine learning (ML). Because most of the interesting applications are happening through machine learning in one way or another, and to keep it simple, we use AI and ML interchangeably.
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.
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