ChatGPT is an advanced AI tool developed by OpenAI that uses natural language processing to generate human-like responses in conversations. Based on OpenAI's GPT (Generative Pre-trained Transformer) models, ChatGPT is trained on diverse text data, enabling it to assist with tasks like answering questions, drafting content, explaining concepts, and providing recommendations. Available through various platforms, including a web app and API, ChatGPT is widely used in education, business, and customer service to streamline workflows, enhance productivity, and offer interactive, AI-powered support.
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
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
This book provides a thorough introduction to two cutting-edge technologies known as Generative AI and ChatGPT. Both of these technologies have received much attention in recent years. Generative AI and ChatGPT can completely reshape sectors and society as a whole by increasing productivity and innovation and making it possible to have more tailored experiences. The natural language processing tool, ChatGPT, powered by artificial intelligence technology, enables you to engage in human-like conversation with the chatbot and provides several other benefits. The language model can answer inquiries and assist with activities such as the composition of emails, essays, and code. This book aims to give a comprehensive overview of the technologies, architectures, and training techniques mentioned above, including their history, the process by which they were developed, and their present status. This book assists in discovering novel applications of these technologies that have been put into practice to generate quantifiable advantages, such as increased efficiency, customer happiness, security, and revenue growth. The book also discusses the book's potential applicability across a variety of sectors and use cases.
Get the Summary of Jake L. Kent's ChatGPT 4 10000 Per Month in 20 minutes. Please note: This is a summary & not the original book. "ChatGPT 4 10000 Per Month" by Jake L. Kent explores the multifaceted applications of ChatGPT, an AI language model developed by OpenAI. The book delves into the model's training on diverse internet text data, its deep learning techniques, and its ability to generate human-like text, making it suitable for various uses such as customer support, content creation, and more. Kent discusses the potential of ChatGPT to inspire creativity, particularly in the entertainment industry, and its role in generating online income...
As we increasingly integrate artificial intelligence (AI) into our everyday lives, many pressing questions remain: What exactly is AI, and how does it differ from human intelligence? How will AI influence our future, and what challenges must we overcome to develop ethical AI? Explore the exciting world of AI and its impact on our daily lives and society with this ultimate guide. Dr. Anne Scherer and Dr. Cindy Candrian reveal everything about the latest scientific findings on the big questions of AI. Discover the evolution of AI and how unconscious perceptions can influence our trust in it. Learn more about the creativity of machines and how our data is used by AI. With this book, you will learn how to harness the power of AI to make better decisions and what to pay particular attention to, so you don't inadvertently get manipulated, deprived of your abilities, or led to discriminatory decisions. Are you ready to unlock the secrets of "You & AI"? Then this book is perfect for you.
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Artificial Intelligence and Academic Integrity, by April G. Dawson, is Aspen’s concise primer intended to increase student awareness of the protocols, possibilities, and ethical implications of using AI systems in their legal education studies, while also giving professors assurance that their students are informed of the same. AI is having a sudden and profound impact on the legal profession, as it has in virtually professions worldwide. Understanding how to leverage AI tools effectively and appropriately will give law school graduates a competitive edge among legal employers interested to hire tech-savvy young lawyers. But AI is also having a profound impact on the legal education experience. As more and more students seek assistance from ChatGPT and similar tools for their academic work, questions arise as to what they are gaining or sacrificing in the process; and whether, or at what point, using AI in academic work falls within the bounds of academic integrity. Such dramatic developments call for better knowledge and understanding of the ethical implications associated with using AI systems in law school. April G. Dawson explores the pros and cons of using powerful AI tools in law school while maintaining institutional standards for academic rigor and intellectual honesty in legal education—alongside students’ own values and developing sense of legal ethics. Professors and students will benefit from: Assurance that AIAI raises student awareness of the importance of 1) using generative AI tools like ChatGPT responsibly; and 2) understanding how academic integrity facilitates learning and prepares students to become ethically responsible in the practice of law; 3) researching and reading their school’s code of conduct, and 4) understanding the policies of individual professors with respect to the use of generative AI tools. Reflection: Professional Identity Formation (PIF), questions that prompt students to reflect on their own experiences with generative AI—both its useful applications for learning and practice, as well as the potential for using AI in ways that violate academic integrity and undermine principles of professional responsibility. Examples of individuals making choices and realizing the consequences of their decisions for a range of situations and ethical quandaries Case Studies feature summaries of recent landmark cases and discussion of law and policy. A concise overview of law-specific AI products, the tasks they perform, and the reasons for the legal profession’s measured approach to adopting them Incisive discussion of the potential for generative AI’s to significantly mitigate, though not fully address, the nation’s access to justice crisis
As generative Artificial Intelligence (AI) tools become increasingly prevalent, it is crucial for educators to develop a nuanced understanding of the ethical implications associated with their use. Educators today face the critical task of navigating the pedagogical applications of AI and maximizing its potential to foster student learning. Creative AI Tools and Ethical Implications in Teaching and Learning is an insightful exploration of the ethical considerations surrounding the integration of AI in education. Educators may fear how it will rapidly transforming the educational landscape, but this book serves to support them and delves into the opportunities and challenges that arise when leveraging AI to enhance teaching and learning experiences. Creative AI Tools and Ethical Implications in Teaching and Learning goes beyond theory to offer practical strategies for integrating AI creatively into the classroom. From learning analytics and educational data mining to AI game activities and generative AI tools like ChatGPT, this book equips educators with the knowledge and resources to adapt AI technologies to support teaching and learning effectively. Moreover, the book explores the vital connection between AI and student assessment, highlighting how AI can enhance the evaluation process while maintaining fairness and objectivity. It concludes with an insightful glimpse into the future of AI in education, envisioning the transformative possibilities that lie ahead. This comprehensive guide provides educators, researchers, and policymakers with the tools they need to navigate the complexities of AI in education.
