Generative AI for Beginners
By Smita Singh and Vikas Wadhwa
()
About this ebook
Preface
Welcome to Generative AI for Beginners, a comprehensive introduction to the fascinating world of Generative Artificial Intelligence (AI). This book is designed to demystify Generative AI concepts, techniques, applications, and ethical considerations, making it accessible to readers with varying levels of technical expertise.
Why This Book?
Generative AI represents a transformative branch of artificial intelligence that enables machines to create new content, mimic human creativity, and solve complex problems through learning from data. From generating realistic images and music compositions to aiding in drug discovery and healthcare, Generative AI has far-reaching implications across industries and disciplines.
What You'll Discover
In this book, you will embark on a journey through the fundamentals of Generative AI, exploring its evolution, underlying technologies, practical applications, and ethical implications.
Who Should Read This Book?
Whether you are a curious beginner, a student exploring AI technologies, or a professional looking to understand the latest advancements in Generative AI, this book provides a foundational understanding and practical insights into this rapidly evolving field.
How to Use This Book
Each chapter is crafted to build upon the previous one, offering a structured approach to learning Generative AI concepts and applications. Practical examples, case studies, and discussions on ethical considerations will enrich your understanding and inspire you to explore the possibilities of Generative AI.
Conclusion
Generative AI for Beginners aims to empower you with the knowledge and skills to navigate the complexities of Generative AI confidently. As you embark on this learning journey, embrace the creativity, innovation, and ethical considerations that define the future of AI.
Let's embark together on a journey into the world of Generative AI!
— The Authors
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Book preview
Generative AI for Beginners - Smita Singh
Preface
Welcome to Generative AI for Beginners, a comprehensive introduction to the fascinating world of Generative Artificial Intelligence (AI). This book is designed to demystify Generative AI concepts, techniques, applications, and ethical considerations, making it accessible to readers with varying levels of technical expertise.
Why This Book?
Generative AI represents a transformative branch of artificial intelligence that enables machines to create new content, mimic human creativity, and solve complex problems through learning from data. From generating realistic images and music compositions to aiding in drug discovery and healthcare, Generative AI has far-reaching implications across industries and disciplines.
What You'll Discover
In this book, you will embark on a journey through the fundamentals of Generative AI, exploring its evolution, underlying technologies, practical applications, and ethical implications. Here’s a glimpse of what each chapter covers:
Chapter 1: Introduction to Generative AI
Understand the basics of Generative AI, its historical context, and its profound impact on technology and society.
Chapter 2: Basic Concepts and Terminology
Explore foundational terms such as Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Generative Models, and Neural Networks.
Chapter 3: Types of Generative Models
Dive into different types of Generative Models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Autoregressive Models, and Flow-based Models.
Chapter 4: How Generative AI Works
Gain insights into the inner workings of Generative AI, from data processing and model training to evaluating performance and common algorithms.
Chapter 5: Applications of Generative AI
Discover practical applications across diverse domains such as image generation, text generation, music and audio creation, video and animation, as well as healthcare and drug discovery.
Chapter 6: Generative AI Tools and Frameworks
Explore essential tools and frameworks including TensorFlow, PyTorch, OpenAI's GPT, GAN Lab, and RunwayML, essential for developing and deploying Generative AI solutions.
Chapter 7: Challenges and Ethical Considerations
Delve into critical issues such as data privacy and security, bias and fairness, ethical implications of AI-generated content, and regulatory and legal aspects.
Chapter 8: The Future of Generative AI
Look ahead to emerging trends, potential innovations, the impact on various industries, and future research directions shaping the evolution of Generative AI.
Who Should Read This Book?
Whether you are a curious beginner, a student exploring AI technologies, or a professional looking to understand the latest advancements in Generative AI, this book provides a foundational understanding and practical insights into this rapidly evolving field.
How to Use This Book
Each chapter is crafted to build upon the previous one, offering a structured approach to learning Generative AI concepts and applications. Practical examples, case studies, and discussions on ethical considerations will enrich your understanding and inspire you to explore the possibilities of Generative AI.
Conclusion
Generative AI for Beginners aims to empower you with the knowledge and skills to navigate the complexities of Generative AI confidently. As you embark on this learning journey, embrace the creativity, innovation, and ethical considerations that define the future of AI.
Let’s embark together on a journey into the world of Generative AI!