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Art Of Prompt Engineering
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Book Synopsis The Quick Guide to Prompt Engineering by : Ian Khan
Download or read book The Quick Guide to Prompt Engineering written by Ian Khan and published by John Wiley & Sons. This book was released on 2024-03-26 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and use generative AI prompts that get helpful and practical results In The Quick Guide to Prompt Engineering, renowned technology futurist, management consultant, and AI thought leader Ian Khan delivers a practical and insightful discussion on taking the first steps in understanding and learning how to use generative AI. In this concise and quick start guide, you will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google’s Bard, and more. In the book, you’ll explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You’ll also find thoughtful and illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI. Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you’ll get: Explanations of the basics of generative artificial intelligence that help you to learn what’s going on under the hood of ChatGPT and other LLMs Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required.
Book Synopsis The Prompt Engineer's Handbook: Effective Prompts for Optimal Results by : Alexander Schmidt
Download or read book The Prompt Engineer's Handbook: Effective Prompts for Optimal Results written by Alexander Schmidt and published by epubli. This book was released on 2024-05-24 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Art of Prompt Engineering: Discover the transformative potential of AI systems. Artificial Intelligence is revolutionising the way we communicate and work. To fully harness the capabilities of AI systems like ChatGPT or Claude one must master the art of formulating precise and creative prompts. Prompt Engineering is essential for obtaining customised, high-quality results from AI. In this book, Alexander Schmidt, an experienced lecturer and expert in analytics and AI-powered communication, guides you through the world of Prompt Engineering step-by-step. Learn the basics, create effective Basic Prompts, and master advanced techniques such as Mega Prompts. Explore how to adapt prompts to various use cases, navigate common pitfalls, and maximise the use of language models like GPT-4. Packed with practical examples, reflective questions, and checklists, this book equips you to sharpen your Prompt Engineering skills in a focused manner. Whether in marketing, data analysis, or customer service, after reading this book, you will be well-prepared to effectively deploy AI systems in your daily work, boosting your productivity and creativity to new heights. Dive into the fascinating world of Prompt Engineering and unlock the vast opportunities that Artificial Intelligence offers for enhancing communication and collaboration. With this guide, you possess the essential tools to precisely control AI systems and achieve impressive results.
Book Synopsis Make Art with Artificial Intelligence by : Kevin Ashley
Download or read book Make Art with Artificial Intelligence written by Kevin Ashley and published by . This book was released on 2021-11-09 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: MAKE ART with Artificial Intelligence A guide on practical artificial intelligence for drawing, art, illustration, and design - for everyone interested in creativity, art, and technology. The book has hundreds of original illustrations made or augmented with AI, 20+ online and video tutorials, 35+ Python notebooks, a GitHub repository and a blockchain art gallery. Written and illustrated by Kevin Ashley, a Microsoft developer hall of fame engineer, and an author of books and courses on artificial intelligence. Think of this book as v3.0 of your drawing class manual on how to sketch, draw faces, emotions, body poses, landscapes, apply light, color, style, emotion, expressions, perspective, generate animations, speech and more with artificial intelligence. All artwork from this book is created or augmented with machine learning and available in online NFT gallery, as well as tutorials and practical examples. The impact of this book in data science community inspired a group of Microsoft engineers and data scientists to implement a project they called Azure Picasso to streamline the path from a conceptual artwork, enhanced with artificial intelligence to publishing art in online galleries. FROM REVIEWS This is similar to the best lecture classes I had in college where the professor talked in class about the concepts and fundamentals but then gave us homework that would let us experiment and try out the concepts hands-on. As an artist who has 30 years of artwork looking to share, I love this book because it's approachable to the novice and useful to the expert. EDITIONS Beautiful Paperback, 8x10, color edition, more illustrations than the e-book, reads like an art book, beautiful print and high-quality paper. eBook - easy to read on phones, tablets and online readers, reflowing text, great for practical tutorials, as the book has many links to tutorials. CONTENTS Getting Started (History of Art and AI - Drawing - Sketching - Action and Poses - Landscapes and Scenery - Animation - Selling your Art) Creative Tools (Traditional tools - Digital tools - AI Tools - Python - Notebooks - Practice Studies). Neural Networks for Art (Neurons - Neural networks - Supervised learning - Unsupervised learning - Generative Adversarial Networks - Machine Learning Models and Training - Reinforcement learning - Practice Studies) Drawing and Sketching with AI (Sketching - Improving Sketches with AI - Childhood Drawings - Creativity - Inking - Shading and Light - Coloring - Practice Studies) Faces and Facial Expressions (How AI recognizes human faces - Facial features - Emotions - 3D Faces - Cartoons and Caricature - Anime and Manga - Generating Faces with AI) Pose and Actions with AI (Action with AI - Keypoints - Pose Estimation - Drawing Human Body - Human Pose Datasets - Perspective and Depth) Landscapes and Scenery (Landscapes - Generating Landscapes - AI Models and Methods for Landscapes - Practice Studies) Style and Content (Style and Style Transfer in Art and AI - Generative Adversarial Networks - Creative Style) Animation with AI (History of Animation - 12 Principles of Animation - Using AI for Animation - Animating Speech, Lips and Faces) How to Sell your Art with Blockchain and NFT (Why Blockchain - Smart Contracts and NFTs - Creating a Crypto Wallet - Creating your Gallery - Listing for Sale - Getting Paid) The book comes with online tutorials, including assets, resources and notebooks for artists, data scientists or engineers. With basic Python you can create stunning works of art, but the knowledge of Python is not required. Enjoy this unique and insightful book!
Book Synopsis The Prompt Engineer's Handbook by : Alex Stirling
Download or read book The Prompt Engineer's Handbook written by Alex Stirling and published by Mental Health Publishing. This book was released on 2024-01-10 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to unleash the power of prompt engineering and embark on a thrilling 'midjourney' towards unlocking unlimited wealth? Look no further than The Prompt Engineer's Handbook: Unlocking Wealth through Words and Images! In this groundbreaking guide, acclaimed author and chatpgt expert, Alex Stirling, takes you on an exhilarating ride through the world of prompt engineering. Alex also reveals the secrets behind crafting compelling words and captivating images that will leave your audience spellbound, and providing a myriad of contexts where these words and images can be used to generate an income. Whether you're a seasoned entrepreneur looking to take your business to new heights or a student/mom/dad who is looking for a side hustle, this handbook is your ultimate tool. Discover innovative techniques for capturing attention, sparking curiosity, and driving action through carefully designed prompts, that ultimately generate money. Prepare yourself for a transformational experience as you uncover the hidden potential within you. Get ready to rewrite your story and unlock boundless wealth with The Prompt Engineer's Handbook. Your journey starts now!
Book Synopsis The Art of Doing Science and Engineering by : Richard W. Hamming
Download or read book The Art of Doing Science and Engineering written by Richard W. Hamming and published by Stripe Press. This book was released on 2020-05-26 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking treatise by one of the great mathematicians of our time, who argues that highly effective thinking can be learned. What spurs on and inspires a great idea? Can we train ourselves to think in a way that will enable world-changing understandings and insights to emerge? Richard Hamming said we can, and first inspired a generation of engineers, scientists, and researchers in 1986 with "You and Your Research," an electrifying sermon on why some scientists do great work, why most don't, why he did, and why you should, too. The Art of Doing Science and Engineering is the full expression of what "You and Your Research" outlined. It's a book about thinking; more specifically, a style of thinking by which great ideas are conceived. The book is filled with stories of great people performing mighty deeds––but they are not meant to simply be admired. Instead, they are to be aspired to, learned from, and surpassed. Hamming consistently returns to Shannon’s information theory, Einstein’s relativity, Grace Hopper’s work on high-level programming, Kaiser’s work on digital fillers, and his own error-correcting codes. He also recounts a number of his spectacular failures as clear examples of what to avoid. Originally published in 1996 and adapted from a course that Hamming taught at the U.S. Naval Postgraduate School, this edition includes an all-new foreword by designer, engineer, and founder of Dynamicland Bret Victor, and more than 70 redrawn graphs and charts. The Art of Doing Science and Engineering is a reminder that a childlike capacity for learning and creativity are accessible to everyone. Hamming was as much a teacher as a scientist, and having spent a lifetime forming and confirming a theory of great people, he prepares the next generation for even greater greatness.
Book Synopsis AI Foundations of Prompt Engineering by : Jon Adams
Download or read book AI Foundations of Prompt Engineering written by Jon Adams and published by Green Mountain Computing. This book was released on with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the secrets of effective communication with AI through "AI Foundations of Prompt Engineering," a comprehensive guide that delves into the nuanced art of prompt engineering. Authored with the intent to demystify the process of crafting prompts that elicit desired responses from AI, this book serves as both an introduction for newcomers and a deep dive for seasoned professionals in the field of artificial intelligence. Book Contents: Chapter 1: Defining Prompt Engineering - Introduction to the concept and importance of prompt engineering in AI interactions. Chapter 2: Elements of a Good Prompt - Exploration of the critical components that constitute an effective prompt. Chapter 3: Word Choice in Prompts - Insights into the significance of choosing the right words for clarity and impact. Chapter 4: Crafting Questions for AI - Guidelines for formulating questions that AI can understand and respond to accurately. Chapter 5: Sentence Structure in AI Prompts - Examination of how sentence structure affects AI's comprehension and responses. Chapter 6: Avoiding Ambiguity - Strategies for creating clear and unambiguous prompts to ensure precise AI responses. Chapter 7: Contextual Considerations - Discussion on the role of context in enhancing the effectiveness of prompts. Chapter 8: Testing and Iterating Prompts - Methods for testing prompts and refining them based on feedback. Chapter 9: Advanced Prompt Engineering - Advanced techniques and considerations for expert-level prompt engineering. Why This Book? Practical Approach: Unlike purely theoretical texts, this book offers concrete guidance, practical examples, and exercises for real-world application. Comprehensive Coverage: From foundational concepts to advanced techniques, this book covers the entire spectrum of prompt engineering. Expert Insights: Benefit from the author's deep understanding of AI dialogue design, informed by the latest research and practices in the field. Whether you're just starting out or seeking to enhance your skills in AI communication, "AI Foundations of Prompt Engineering" is an essential resource that will equip you with the knowledge and tools to master the art of prompt engineering. Embark on this educational journey and unlock the potential of AI through expertly crafted prompts.
Book Synopsis Prompt Engineering Using ChatGPT by : Mehrzad Tabatabaian
Download or read book Prompt Engineering Using ChatGPT written by Mehrzad Tabatabaian and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-17 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured framework for exploring various aspects of prompt engineering for ChatGPT, from foundational principles to advanced techniques, real-world applications, and ethical considerations. It aims to guide readers in effectively harnessing the capabilities of ChatGPT through well-crafted prompts to achieve their goals. The digital age has ushered in a new era of communication, one where the boundaries between human and machine are becoming increasingly blurred. Artificial Intelligence (AI) technology, in its relentless evolution, has given rise to remarkable language models that can understand and generate human-like text. "Prompt Engineering for ChatGPT," demystifies the intricacies of this ground breaking technology, offering insights and strategies to harness its capabilities.
Book Synopsis Prompt Engineering for Large Language Models by : Nimrita Koul
Download or read book Prompt Engineering for Large Language Models written by Nimrita Koul and published by Nimrita Koul. This book was released on with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook ‘Prompt Engineering for Large Language Models’ is meant to be a concise and practical guide for the reader. It teaches you to write better prompts for generative artificial intelligence models like Google’s BARD and OpenAI’s ChatGPT. These models have been trained on huge volumes of data to generate text and provide a free of cost, web-based interface to the underlying models as of 11 Nov. 2023. These models are fine tuned for conversational AI applications. All the prompts used in the eBook have been tested on the web interface of BARD and ChatGPT-3.5.
Book Synopsis Prompt Engineering for Generative AI by : James Phoenix
Download or read book Prompt Engineering for Generative AI written by James Phoenix and published by "O'Reilly Media, Inc.". This book was released on 2024-05-16 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture—and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code
Download or read book AI in Museums written by Sonja Thiel and published by transcript Verlag. This book was released on 2023-12-31 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is becoming an increasingly important topic in the cultural sector. While museums have long focused on building digital object databases, the existing data can now become a field of application for machine learning, deep learning and foundation model approaches. This goes hand in hand with new artistic practices, curation tools, visitor analytics, chatbots, automatic translations and tailor-made text generation. With a decidedly interdisciplinary approach, the volume brings together a wide range of critical reflections, practical perspectives and concrete applications of artificial intelligence in museums, and provides an overview of the current state of the debate.
Book Synopsis Financial Freedom with ChatGPT and Prompt Engineering by : Ethan L. Sterling, Ph.D.
Download or read book Financial Freedom with ChatGPT and Prompt Engineering written by Ethan L. Sterling, Ph.D. and published by Books For Smart Entrepreneurs. This book was released on 2024-01-16 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you ever wondered how technology could catapult you into a future where money flows with less effort? Or how Artificial Intelligence is redefining the rules of the game in the digital world? You'll discover the revolutionary strategies that are transforming the way people generate income online. Through a personal and moving journey, the author shares his own transformation and how ChatGPT not only improved his productivity, but also boosted his income in unimaginable ways. Within these pages, you will discover: Real success stories that will inspire you to take action. A detailed step-by-step approach to monetizing different areas of the digital world, from writing ebooks and creating online courses, to optimizing ad campaigns and 24/7 customer service. Practical Prompts that you can copy and paste to start making money immediately. A complete guide to the art of Prompt Engineering to maximize the potential of ChatGPT. This is not just another book about how to make money online. It's an invitation to transform your financial reality by harnessing the power of Artificial Intelligence.Whether you are a seasoned entrepreneur, a beginner in the digital world, or someone simply curious about the possibilities AI offers, this book is your master key to unlocking a world of opportunity. Take the leap. Discover how you can, with the right guidance and the right tool, generate Internet income smarter, not harder. The future is here, and it's waiting for you!
Book Synopsis Generative AI For Dummies by : Pam Baker
Download or read book Generative AI For Dummies written by Pam Baker and published by John Wiley & Sons. This book was released on 2024-09-09 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generate a personal assistant with generative AI Generative AI tools capable of creating text, images, and even ideas seemingly out of thin air have exploded in popularity and sophistication. This valuable technology can assist in authoring short and long-form content, producing audio and video, serving as a research assistant, and tons of other professional and personal tasks. Generative AI For Dummies is your roadmap to using the world of artificial intelligence to enhance your personal and professional lives. You'll learn how to identify the best platforms for your needs and write the prompts that coax out the content you want. Written by the best-selling author of ChatGPT For Dummies, this book is the ideal place to start when you're ready to fully dive into the world of generative AI. Discover the best generative AI tools and learn how to use them for writing, designing, and beyond Write strong AI prompts so you can generate valuable output and save time Create AI-generated audio, video, and imagery Incorporate AI into your everyday tasks for enhanced productivity This book offers an easy-to-follow overview of the capabilities of generative AI and how to incorporate them into any job. It's perfect for anyone who wants to add AI know-how into their work.
Book Synopsis Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation by : Sharma, Ramesh C.
Download or read book Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation written by Sharma, Ramesh C. and published by IGI Global. This book was released on 2024-02-07 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool.
Book Synopsis Software Conflict 2.0 by : Robert L. Glass
Download or read book Software Conflict 2.0 written by Robert L. Glass and published by developer.* Books. This book was released on 2006 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nearly 60 essays in this book--always easily digestible, often profound, and never too serious--take up large themes and important questions, never shying away from controversy. (Computer Books)
Book Synopsis A Beginner's Guide to Large Language Models by : Enamul Haque
Download or read book A Beginner's Guide to Large Language Models written by Enamul Haque and published by Enamul Haque. This book was released on 2024-07-25 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Beginner's Guide to Large Language Models: Conversational AI for Non-Technical Enthusiasts Step into the revolutionary world of artificial intelligence with "A Beginner's Guide to Large Language Models: Conversational AI for Non-Technical Enthusiasts." Whether you're a curious individual or a professional seeking to leverage AI in your field, this book demystifies the complexities of large language models (LLMs) with engaging, easy-to-understand explanations and practical insights. Explore the fascinating journey of AI from its early roots to the cutting-edge advancements that power today's conversational AI systems. Discover how LLMs, like ChatGPT and Google's Gemini, are transforming industries, enhancing productivity, and sparking creativity across the globe. With the guidance of this comprehensive and accessible guide, you'll gain a solid understanding of how LLMs work, their real-world applications, and the ethical considerations they entail. Packed with vivid examples, hands-on exercises, and real-life scenarios, this book will empower you to harness the full potential of LLMs. Learn to generate creative content, translate languages in real-time, summarise complex information, and even develop AI-powered applications—all without needing a technical background. You'll also find valuable insights into the evolving job landscape, equipping you with the knowledge to pursue a successful career in this dynamic field. This guide ensures that AI is not just an abstract concept but a tangible tool you can use to transform your everyday life and work. Dive into the future with confidence and curiosity, and discover the incredible possibilities that large language models offer. Join the AI revolution and unlock the secrets of the technology that's reshaping our world. "A Beginner's Guide to Large Language Models" is your key to understanding and mastering the power of conversational AI. Introduction This introduction sets the stage for understanding the evolution of artificial intelligence (AI) and large language models (LLMs). It highlights the promise of making complex AI concepts accessible to non-technical readers and outlines the unique approach of this book. Chapter 1: Demystifying AI and LLMs: A Journey Through Time This chapter introduces the basics of AI, using simple analogies and real-world examples. It traces the evolution of AI, from rule-based systems to machine learning and deep learning, leading to the emergence of LLMs. Key concepts such as tokens, vocabulary, and embeddings are explained to build a solid foundation for understanding how LLMs process and generate language. Chapter 2: Mastering Large Language Models Delving deeper into the mechanics of LLMs, this chapter covers the transformer architecture, attention mechanisms, and the processes involved in training and fine-tuning LLMs. It includes hands-on exercises with prompts and discusses advanced techniques like chain-of-thought prompting and prompt chaining to optimise LLM performance. Chapter 3: The LLM Toolbox: Unleashing the Power of Language AI This chapter explores the diverse applications of LLMs in text generation, language translation, summarisation, question answering, and code generation. It also introduces multimodal LLMs that handle both text and images, showcasing their impact on various creative and professional fields. Practical examples and real-life scenarios illustrate how these tools can enhance productivity and creativity. Chapter 4: LLMs in the Real World: Transforming Industries Highlighting the transformative impact of LLMs across different industries, this chapter covers their role in healthcare, finance, education, creative industries, and business. It discusses how LLMs are revolutionising tasks such as medical diagnosis, fraud detection, personalised tutoring, and content creation, and explores the future of work in an AI-powered world. Chapter 5: The Dark Side of LLMs: Ethical Concerns and Challenges Addressing the ethical challenges of LLMs, this chapter covers bias and fairness, privacy concerns, misuse of LLMs, security threats, and the transparency of AI decision-making. It also discusses ethical frameworks for responsible AI development and presents diverse perspectives on the risks and benefits of LLMs. Chapter 6: Mastering LLMs: Advanced Techniques and Strategies This chapter focuses on advanced techniques for leveraging LLMs, such as combining transformers with other AI models, fine-tuning open-source LLMs for specific tasks, and building LLM-powered applications. It provides detailed guidance on prompt engineering for various applications and includes a step-by-step guide to creating an AI-powered chatbot. Chapter 7: LLMs and the Future: A Glimpse into Tomorrow Looking ahead, this chapter explores emerging trends and potential breakthroughs in AI and LLM research. It discusses ethical AI development, insights from leading AI experts, and visions of a future where LLMs are integrated into everyday life. The chapter highlights the importance of building responsible AI systems that address societal concerns. Chapter 8: Your LLM Career Roadmap: Navigating the AI Job Landscape Focusing on the growing demand for LLM expertise, this chapter outlines various career paths in the AI field, such as LLM scientists, engineers, and prompt engineers. It provides resources for building the necessary skillsets and discusses the evolving job market, emphasising the importance of continuous learning and adaptability in a rapidly changing industry. Thought-Provoking Questions, Simple Exercises, and Real-Life Scenarios The book concludes with practical exercises and real-life scenarios to help readers apply their knowledge of LLMs. It includes thought-provoking questions to deepen understanding and provides resources and tools for further exploration of LLM applications. Tools to Help with Your Exercises This section lists tools and platforms for engaging with LLM exercises, such as OpenAI's Playground, Google Translate, and various IDEs for coding. Links to these tools are provided to facilitate hands-on learning and experimentation.
Book Synopsis Generative AI and LLMs by : S. Balasubramaniam
Download or read book Generative AI and LLMs written by S. Balasubramaniam and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-09-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.
Book Synopsis LLMs and Generative AI for Healthcare by : Kerrie Holley
Download or read book LLMs and Generative AI for Healthcare written by Kerrie Holley and published by "O'Reilly Media, Inc.". This book was released on 2024-08-20 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. With this book, you will: Understand the promise and challenges of LLMs in healthcare Learn the inner workings of LLMs and generative AI Explore automation of healthcare use cases for improved operations and patient care using LLMs Dive into patient experiences and clinical decision-making using generative AI Review future applications in pharmaceutical R&D, public health, and genomics Understand ethical considerations and responsible development of LLMs in healthcare "The authors illustrate generative's impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry."--Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley's extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare. Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.
