The ChatGPT Handbook: A Comprehensive Guide to Using and Understanding the AI Language Model
Title | The ChatGPT Handbook: A Comprehensive Guide to Using and Understanding the AI Language Model PDF eBook |
Author | Anand Vemula |
Publisher | Anand Vemula |
Pages | 24 |
Release | |
Genre | Computers |
ISBN |
The ChatGPT Handbook: A Comprehensive Guide to Using and Understanding the AI Language Model" serves as a definitive resource for individuals seeking to navigate and harness the capabilities of ChatGPT, an advanced artificial intelligence language model. Authored by experts in the field, this comprehensive guide offers an in-depth exploration of ChatGPT's functionalities, applications, and underlying principles. The handbook begins by elucidating the foundational concepts of artificial intelligence and natural language processing, providing readers with a solid understanding of the technology powering ChatGPT. It delves into the history of language models, tracing their evolution from early iterations to the state-of-the-art algorithms employed today. Readers are then introduced to the intricacies of ChatGPT's architecture, learning about its neural network structure, training methodology, and innovative techniques such as self-attention mechanisms. The handbook elucidates how ChatGPT processes and generates human-like text, demystifying complex technical concepts through clear explanations and illustrative examples. A significant portion of the handbook is dedicated to practical guidance on utilizing ChatGPT effectively. Readers are equipped with strategies for interacting with the model, including best practices for input formatting, prompt construction, and response evaluation. Furthermore, the handbook offers insights into optimizing the performance of ChatGPT for specific tasks and domains, empowering users to tailor their interactions according to their needs. Beyond its practical applications, the handbook delves into the societal implications and ethical considerations surrounding AI language models like ChatGPT. It explores topics such as bias mitigation, responsible deployment, and the importance of transparency and accountability in AI development. In addition to its technical content, the handbook features case studies, interviews with industry experts, and real-world examples showcasing the diverse ways in which ChatGPT can be leveraged across domains such as customer service, education, and creative writing. Comprehensive yet accessible, "The ChatGPT Handbook" serves as an indispensable resource for anyone seeking to harness the power of AI language models in their personal or professional endeavors. Whether you're a seasoned developer, a curious enthusiast, or a business leader exploring AI solutions, this handbook offers valuable insights and guidance for navigating the landscape of artificial intelligence with confidence and competence.
Artificial Intelligence
Title | Artificial Intelligence PDF eBook |
Author | Melanie Mitchell |
Publisher | Farrar, Straus and Giroux |
Pages | 336 |
Release | 2019-10-15 |
Genre | Computers |
ISBN | 0374715238 |
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.
ChatGPT Simplified
Title | ChatGPT Simplified PDF eBook |
Author | Silas Quantum |
Publisher | Silas Quantum |
Pages | 76 |
Release | 2024-05-06 |
Genre | Computers |
ISBN |
Discover the Power of ChatGPT and Revolutionize Your Writing Career! In 'ChatGPT Simplified,' Silas Quantum unveils the ultimate guide to mastering AI language models and unleashing your creativity like never before. Dive deep into the world of ChatGPT-4, ChatGPT Prompts, and explore the endless possibilities for fiction writing, blogging, content creation, and even making money online! Whether you're a seasoned writer looking to enhance your craft or a novice eager to explore the cutting-edge of AI technology, this comprehensive guide has you covered. Silas Quantum demystifies complex concepts, providing clear, step-by-step instructions and insider insights to help you harness the full potential of ChatGPT. From understanding the fundamentals of AI language models to crafting engaging narratives and generating captivating content, this book equips you with the tools and techniques to thrive in the digital age. Unleash your creativity, optimize your workflow, and embark on a journey of literary innovation with 'ChatGPT Simplified.' Get ready to transform your writing and take your career to new heights. Whether you're writing fiction, blogging for passion, or seeking to monetize your content online, ChatGPT is your ultimate companion. Don't miss out on this opportunity to revolutionize your writing journey. Grab your copy of 'ChatGPT Simplified' and start creating masterpieces today!
The Executive Guide to Artificial Intelligence
Title | The Executive Guide to Artificial Intelligence PDF eBook |
Author | Andrew Burgess |
Publisher | Springer |
Pages | 187 |
Release | 2017-11-15 |
Genre | Business & Economics |
ISBN | 3319638203 |
This book takes a pragmatic and hype–free approach to explaining artificial intelligence and how it can be utilised by businesses today. At the core of the book is a framework, developed by the author, which describes in non–technical language the eight core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through natural language processing, to prediction, is explained using real–life examples and how they can be applied in a business environment. It will include interviews with executives who have successfully implemented AI as well as CEOs from AI vendors and consultancies. AI is one of the most talked about technologies in business today. It has the ability to deliver step–change benefits to organisations and enables forward–thinking CEOs to rethink their business models or create completely new businesses. But most of the real value of AI is hidden behind marketing hyperbole, confusing terminology, inflated expectations and dire warnings of ‘robot overlords’. Any business executive that wants to know how to exploit AI in their business today is left confused and frustrated. As an advisor in Artificial Intelligence, Andrew Burgess regularly comes face–to–face with business executives who are struggling to cut through the hype that surrounds AI. The knowledge and experience he has gained in advising them, as well as working as a strategic advisor to AI vendors and consultancies, has provided him with the skills to help business executives understand what AI is and how they can exploit its many benefits. Through the distilled knowledge included in this book business leaders will be able to take full advantage of this most disruptive of technologies and create substantial competitive advantage for their companies.
Applied Artificial Intelligence
Title | Applied Artificial Intelligence PDF eBook |
Author | Mariya Yao |
Publisher | |
Pages | 246 |
Release | 2018-04-30 |
Genre | Artificial intelligence |
ISBN | 9780998289021 |
This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.
UX for Enterprise ChatGPT Solutions
Title | UX for Enterprise ChatGPT Solutions PDF eBook |
Author | Richard H. Miller |
Publisher | Packt Publishing Ltd |
Pages | 446 |
Release | 2024-09-06 |
Genre | Computers |
ISBN | 1835463800 |
Create engaging AI experiences by mastering ChatGPT for business and leveraging user interface design practices, research methods, prompt engineering, the feeding lifecycle, and more Key Features Learn in-demand design thinking and user research techniques applicable to all conversational AI platforms Measure the quality and evaluate ChatGPT from a customer’s perspective for optimal user experience Set up and use your secure private data, documents, and materials to enhance your ChatGPT models Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany enterprises grapple with new technology, often hopping on the bandwagon only to abandon it when challenges emerge. This book is your guide to seamlessly integrating ChatGPT into enterprise solutions with a UX-centered approach. UX for Enterprise ChatGPT Solutions empowers you to master effective use case design and adapt UX guidelines through an engaging learning experience. Discover how to prepare your content for success by tailoring interactions to match your audience’s voice, style, and tone using prompt-engineering and fine-tuning. For UX professionals, this book is the key to anchoring your expertise in this evolving field. Writers, researchers, product managers, and linguists will learn to make insightful design decisions. You’ll explore use cases like ChatGPT-powered chat and recommendation engines, while uncovering the AI magic behind the scenes. The book introduces a and feeding model, enabling you to leverage feedback and monitoring to iterate and refine any Large Language Model solution. Packed with hundreds of tips and tricks, this guide will help you build a continuous improvement cycle suited for AI solutions. By the end, you’ll know how to craft powerful, accurate, responsive, and brand-consistent generative AI experiences, revolutionizing your organization’s use of ChatGPT.What you will learn Align with user needs by applying design thinking to tailor ChatGPT to meet customer expectations Harness user research to enhance chatbots and recommendation engines Track quality metrics and learn methods to evaluate and monitor ChatGPT's quality and usability Establish and maintain a uniform style and tone with prompt engineering and fine-tuning Apply proven heuristics by monitoring and assessing the UX for conversational experiences with trusted methods Refine continuously by implementing an ongoing process for chatbot and feeding Who this book is for This book is for user experience designers, product managers, and product owners of business and enterprise ChatGPT solutions who are interested in learning how to design and implement ChatGPT-4 solutions for enterprise needs. You should have a basic-to-intermediate level of understanding in UI/UX design concepts and fundamental knowledge of ChatGPT-4 and its capabilities.
Machine Learning with PyTorch and Scikit-Learn
Title | Machine Learning with PyTorch and Scikit-Learn PDF eBook |
Author | Sebastian Raschka |
Publisher | Packt Publishing Ltd |
Pages | 775 |
Release | 2022-02-25 |
Genre | Computers |
ISBN | 1801816387 |
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.