Bhati / Neha / Guercio

Erschienen: 22.07.2025

A Beginner’s Guide to Generative AI

An Introductory Path to Diffusion Models, ChatGPT, and LLMs

Springer

ISBN 978-3-031-84723-3

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42,79 €

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Bibliografische Daten

Fachbuch

Buch. Hardcover

2025

3 s/w-Abbildungen, 60 Farbabbildungen.

In englischer Sprache

Umfang: xix, 236 S.

Format (B x L): 16,8 x 24 cm

Verlag: Springer

ISBN: 978-3-031-84723-3

Weiterführende bibliografische Daten

Das Werk ist Teil der Reihe: Synthesis Lectures on Computer Science

auch verfügbar als eBook (PDF) für 42,79 €

Produktbeschreibung

This book is the essential guide for anyone curious about AI’s creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformative technologies of our time. Designed for beginners and requiring no prior knowledge of AI, this book breaks down the fundamentals of generative AI, from text and image generation to the workings of models like ChatGPT and Google Bard. The authors provide step-by-step coverage of the essential concepts and techniques that power generative AI. From the basics of how machines learn to generate text and images, to the intricate workings of models like Transformers, ChatGPT, and Google Bard, readers will gain a solid foundation in AI's most cutting-edge tools. Rather than focusing on a single method, the authors introduce a spectrum of generative modeling techniques, including diffusion models, variational autoencoders, and transformers. This comprehensive exposure ensures readers will be well-prepared to understand and adapt to the rapidly evolving AI landscape. In addition, real-world applications of generative AI across various industries are explored including healthcare innovations, business analytics, and legal technology, and the authors provide practical insights and examples that show how generative AI is revolutionizing these fields. In addition, this book: - Offers a thorough, accessible, and engaging introduction to one of the most exciting areas of technology today - Covers a diverse range of generative modeling techniques, from transformers to variational autoencoders - Includes multiple-choice exercise questions and summaries at the end of each chapter to reinforce learning

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Offers a thorough, accessible, and engaging introduction to one of the most exciting areas of technology today Covers a diverse range of generative modeling techniques, from transformers to variational autoencoders Includes multiple-choice exercise questions and summaries at the end of each chapter to reinforce learning

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