A Beginner’s Guide to Generative AI
Bhati, Deepshikha, Neha, Fnu, Guercio, Angela, Amiruzzaman, Md, Kasturiarachi, Aloysius Bathi
Produktnummer:
18b38462255d954bafb9028e9bdec77a22
Autor: | Amiruzzaman, Md Bhati, Deepshikha Guercio, Angela Kasturiarachi, Aloysius Bathi Neha, Fnu |
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Themengebiete: | Artificial Intelligence ChatGPT Architecture Diffusion Models Generative AI Google Bard vs ChatGPT Large Language Models (LLMs) Machine Learning Neural Network Evolution Text Generation with AI Transformers in AI |
Veröffentlichungsdatum: | 22.08.2025 |
EAN: | 9783031847233 |
Sprache: | Englisch |
Seitenzahl: | 236 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Untertitel: | An Introductory Path to Diffusion Models, ChatGPT, and LLMs |
Produktinformationen "A Beginner’s Guide to Generative AI"
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.

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