Introduction To Generative Ai

Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you’ll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What’s next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI

Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you’ll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What’s next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Artificial intelligence (AI) is currently one of the most talked-about and significant modern technologies. It is being utilized more frequently across a wide range of businesses to enhance workflows, offer individualized experiences, and even assist in resolving difficult societal problems. Although AI is becoming more commonplace, many people are still confused about what it is and how it functions. "This book" is useful in this situation. This manual aims to give a thorough yet understandable introduction to AI. It discusses the development of AI, its various subfields, and its applications in sectors like healthcare, finance, and retail. It also covers the ethical and societal ramifications of AI, such as issues with bias, privacy, and the effect on employment. The approachability of "This book" is one of its main advantages. The manual's straightforward, concise writing makes it simple for readers to comprehend the ideas without becoming lost in technical jargon. In order to assist readers, apply what they have learned to their own commercial or personal initiatives, it contains real-world examples and useful exercises. "This book" is the ideal tool for learning more about AI, whether you are a business owner trying to integrate AI into your operations or are just curious about the subject. By the book's conclusion, readers will be well-versed in the foundations of AI and able to use this technology to accomplish their objectives. It is more crucial than ever to acquire a fundamental understanding of this potent technology in a world where AI is progressively influencing how we conduct our daily lives. With "This book," readers will be well-prepared to traverse the complicated world of artificial intelligence and use it to streamline their lives and accomplish their goals. So, let's get started and together explore the transformational possibilities of AI. Purpose of The Book and Targeted Audience The book "Introduction to Artificial Intelligence and Generative Ai For Novice aims to give readers an accessible and digestible introduction to the principles of AI. The book tries to demystify the often scary and overwhelming realm of AI and aid readers in developing a deeper grasp of this quickly developing technology. The manual is broken up into a number of sections, each of which deals with a different area of AI. It begins with a summary of AI history, including its inception and significant advancements that have influenced the field. After that, it explores the numerous varieties of AI, including supervised learning, unsupervised learning, and reinforcement learning, and offers instances of their practical applications in different fields. The approachability of "This book" is one of its advantages. Without becoming mired in technical jargon, the book's readers may easily understand the topics because of its simple, succinct writing. The manual provides useful activities that let readers put what they've learned into practice and get first-hand AI experience. A brief overview of AI and its potential impact on Society Making intelligent computers that are capable of performing activities that traditionally require human intelligence, such as speech recognition, decision-making, and problem-solving, is the focus of artificial intelligence (AI), a fast-developing branch of computer science. Although artificial intelligence has been around for some time, current developments in machine learning, deep learning, and natural language processing have significantly advanced the creation of AI systems

Artificial intelligence (AI) is currently one of the most talked-about and significant modern technologies. It is being utilized more frequently across a wide range of businesses to enhance workflows, offers individualized experiences, and even assist in resolving difficult societal problems. Although AI is becoming more commonplace, many people are still confused about what it is and how it functions. "This book" is useful in this situation. This manual aims to give a thorough yet understandable introduction to AI. It discusses the development of AI, its various subfields, and its applications in sectors like healthcare, finance, and retail. It also covers the ethical and societal ramifications of AI, such as issues with bias, privacy, and the effect on employment. The approachability of "This book" is one of its main advantages. The manual's straightforward, concise writing makes it simple for readers to comprehend the ideas without becoming lost in technical jargon. In order to assist readers, apply what they have learned to their own commercial or personal initiatives, it contains real-world examples and useful exercises. "This book" is the ideal tool for learning more about AI, whether you are a business owner trying to integrate AI into your operations or are just curious about the subject. By the book's conclusion, readers will be well-versed in the foundations of AI and able to use this technology to accomplish their objectives. It is more crucial than ever to acquire a fundamental understanding of this potent technology in a world where AI is progressively influencing how we conduct our daily lives. With "This book," readers will be well-prepared to traverse the complicated world of artificial intelligence and use it to streamline their lives and accomplish their goals. So, let's get started and together explore the transformational possibilities of AI. Purpose of The Book and Targeted Audience The book "Introduction to Artificial Intelligence and Generative Ai For Novice aims to give readers an accessible and digestible introduction to the principles of AI. The book tries to demystify the often scary and overwhelming realm of AI and aid readers in developing a deeper grasp of this quickly developing technology.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking. What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.