Generative AI: Techniques, Models and Applications
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Beschreibung
This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale architectures, prompt engineering, and practical applications. The content seamlessly integrates complex technical concepts with industry-relevant examples, making it an invaluable resource for researchers, academicians, and practitioners. Distinguished by its balanced approach to theory and practice, this book serves as both a learning tool and reference guide. Readers will benefit from:
- Clear explanations of advanced concepts.
- Practical implementation insights.
- Current industry applications.
- Ethical framework discussions.
Whether you're conducting research, implementing solutions, or exploring the field, this book provides the knowledge necessary to understand and apply generative AI technologies effectively while considering crucial aspects of security, privacy, and fairness.
This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale architectures, prompt engineering, and practical applications. The content seamlessly integrates complex technical concepts with industry-relevant examples, making it an invaluable resource for researchers, academicians, and practitioners. Distinguished by its balanced approach to theory and practice, this book serves as both a learning tool and reference guide. Readers will benefit from:
- Clear explanations of advanced concepts.
- Practical implementation insights.
- Current industry applications.
- Ethical framework discussions.
Whether you're conducting research, implementing solutions, or exploring the field, this book provides the knowledge necessary to understand and apply generative AI technologies effectively while considering crucial aspects of security, privacy, and fairness.
Begins with an introduction to the foundations of deep learning and neural networks Is a must-read for anyone who wants to stay ahead of the curve in AI and machine learning Provides the knowledge necessary to understand and apply generative AI technologies
Autor*in
Rajan Gupta
Themen in »Generative AI: Techniques, Models and Applications«
Large Language Models Foundation Models Transformers Self-supervised Learning Reinforcement Learning Prompt Engineering ChatGPT