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Author: James Phoenix
Publisher: "O'Reilly Media, Inc."
ISBN: 1098153405
Category : Computers
Languages : en
Pages : 423
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Book Description
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
Author: James Phoenix
Publisher: "O'Reilly Media, Inc."
ISBN: 1098153405
Category : Computers
Languages : en
Pages : 423
Get Book Here
Book Description
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
Author: Ian Khan
Publisher: John Wiley & Sons
ISBN: 1394243324
Category : Business & Economics
Languages : en
Pages : 485
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Book Description
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.
Author: Lance Eliot
Publisher:
ISBN: 9781957386164
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Author: Anand Vemula
Publisher: Anand Vemula
ISBN:
Category : Computers
Languages : en
Pages : 54
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Book Description
A comprehensive guide to mastering the art and science of crafting effective prompts to unleash the full potential of generative AI. This book delves into the principles, techniques, and ethical considerations of prompt engineering, providing readers with practical insights and strategies for achieving optimal results. The book begins by exploring the fundamentals of prompt engineering, including the definition of prompts, their importance in guiding AI models, and the various types of prompts commonly used. Readers will learn about the common challenges and pitfalls of prompt engineering and gain a deeper understanding of AI models, their architecture, training processes, strengths, and limitations. Moving on to advanced topics, the book covers multi-turn prompts, contextual and sequential prompts, and leveraging model outputs to refine and enhance AI-generated content. Readers will discover domain-specific applications of prompt engineering, including creative writing, conversational AI, visual and artistic applications, and scientific and technical domains. Ethical considerations play a significant role in prompt engineering, and the book provides insights into recognizing and mitigating bias, ethical considerations, and responsible AI use. Readers will also gain practical knowledge of the tools and platforms available for prompt engineering, along with techniques for customizing and extending AI models. Testing and evaluation are essential aspects of prompt engineering, and the book offers guidance on metrics for assessing prompt performance, gathering user feedback, and conducting A/B testing and comparative analysis. Real-world case studies highlight successful applications of prompt engineering across various industries, offering valuable lessons and insights. Finally, the book explores future trends in generative AI and prompt engineering, providing readers with a glimpse into emerging technologies, predictions for the future of AI, and strategies for preparing for future developments. With its comprehensive coverage and practical insights, "Prompt Engineering for Generative AI" is an indispensable resource for AI enthusiasts, researchers, developers, and anyone looking to harness the power of generative AI through effective prompt engineering
Author: Lance Eliot
Publisher:
ISBN: 9781957386171
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Author: Navveen Balani
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Once upon a time, in a world teeming with creativity, an author embarked on an ambitious quest to create a book unlike any other: "Prompt Engineering: Unlocking Generative AI." This tale begins with a simple question: Could the synergy of human creative prowess and Generative AI give birth to a groundbreaking masterpiece? Unraveling the answer to this question would not only revolutionize the author's creative process but also open up new horizons for human-machine collaborations across a wide range of sectors. As the author delved into the seemingly infinite possibilities of Generative AI, a fascinating process called prompt engineering caught his attention. By combining human ingenuity with machine intelligence, the author discovered a synergistic partnership that transcended the boundaries of traditional writing. Together, they weaved an intricate tapestry of stories, ideas, and insights, revealing the untapped potential of man and machine working in harmony to create artful crafts. The author's distinct ingenuity played an integral role in the success of this collaboration. By masterfully combining his writing with the generative process, the author seamlessly blended his imagination and artistic sensibilities with the resourcefulness of AI. This innovative approach led to creating and refining content that was engaging and thought-provoking and a reflection of his own creative vision. The author demonstrated the power of a harmonious partnership between humans and Generative AI, producing a unique and inspiring blend of content showcasing the best of both worlds. Recognizing the ever-evolving nature of Generative AI, one must appreciate that it is an ongoing journey toward perfection. The journey of crafting significant and coherent prompts frequently necessitates iterations, as AI-generated output may only sometimes meet initial expectations. Yet, this fundamental practice of optimizing and reassessing prompts nurtures a symbiotic relationship, empowering AI and human collaborators to grow in unison. As we navigate this path together, addressing and mitigating the ethical considerations that emerge in the context of AI-generated content is crucial. As we embark on this journey through the pages of this book, we realize that the key to unlocking boundless potential lies within each of us. Creativity is the spark that ignites this thrilling journey into the future, and our collective imagination will guide us into a world filled with limitless possibilities. So, dear reader, embark on this exhilarating journey through the pages of "Prompt Engineering: Unlocking Generative AI," a book that is not just a work of art but also an adventure, an exploration, and a celebration of the limitless possibilities that lie at the intersection of human imagination and machine intelligence. The story has only just begun, and together, we can shape a brighter, more inclusive world where everyone has the chance to contribute to the tapestry of human progress. This book is designed for everyone who wishes to unleash their creativity, regardless of technical background. All you need is a creative mindset to harness the limitless potential of Generative AI. The book offers an accessible and engaging journey, perfect for beginners and experts alike. Ignite your imagination, and uncover the transformative capabilities of Generative AI. Here is the captivating Table of Contents to pique your curiosity and inspire your creative exploration: Chapter 1. Introduction to Prompt Engineering Chapter 2. Foundations of Language Models Chapter 3. Art and Science of Prompt Engineering Chapter 4. Crafting Prompt Types Chapter 5. Advanced Prompt Engineering Chapter 6. Ethical Considerations in Prompt Engineering Chapter 7. Use Cases for Real-World Prompt Engineering Chapter 8. The Future of Prompt Engineering
Author: Aimee Mills
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Imagine a world where data isn't just analyzed, but actively used to create entirely new things. A world where scientists and analysts are not just interpreters of information, but architects of innovation. This, my friends, is the world of generative AI, and it's closer than you think. Welcome to the Future: Step into the shoes of Anya, a talented data scientist at a leading tech firm. Tired of the repetitive data analysis, Anya yearns to push the boundaries of what's possible. Then she discovers the power of generative AI, and her world is transformed. She learns to craft prompts, those magical incantations that unlock the creative potential of AI models, and with each prompt, she unleashes a wave of innovation. Anya generates new molecules for drug discovery, designs never-before-seen materials, and even crafts compelling stories that move hearts and minds. Unlock Your Potential: This book is your guide to becoming a master of the art of prompt engineering. Whether you're a seasoned data scientist or just starting out, "The Power of Generative" will equip you with the knowledge and skills you need to unlock the full potential of generative AI. Here's what you'll discover: The fundamental principles of generative AI: Demystifying the complex world of AI models and how they learn to create. The art of crafting prompts: Master the language of AI, from understanding syntax to structuring effective prompts for different tasks. Advanced techniques for prompt engineering: Explore cutting-edge methods like embedding, conditional generation, and fine-tuning. Real-world applications: Dive deep into practical use cases for generative AI across various industries. Ethical considerations and responsible AI: Learn how to use generative AI ethically and responsibly, mitigating potential risks and biases. Claim Your Power: Generative AI is not just a technological leap, it's a paradigm shift. It's a call to arms for data scientists and analysts to embrace their creativity and become architects of the future. Are you ready to join the revolution? Take action today. BUY "The Power of Generative" and unlock your potential as a prompt engineer. The world of innovation awaits.
Author: James Phoenix
Publisher:
ISBN: 9781098153434
Category :
Languages : en
Pages : 0
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Book Description
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
Author: Sharma, Ramesh C.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 570
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Book Description
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.
Author: Mehrzad Tabatabaian
Publisher: Stylus Publishing, LLC
ISBN: 150151895X
Category : Computers
Languages : en
Pages : 218
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Book Description
This book is designed for mastering the art and science of prompt engineering in the realm of artificial intelligence. It provides a thorough exploration of the fundamental principles, practical techniques, and real-world applications of prompt engineering, with a special focus on ChatGPT and its advanced iterations, including GPT-4 and GPT plug-ins. You will learn the essential role of prompts in interacting with ChatGPT, understand the anatomy of a well-constructed prompt, and explore different prompt styles. The book also shows how to set constraints and guidelines to steer AI responses toward desired outcomes and ensure ethical and responsible interactions. Whether you're a novice of generative AI or seeking advanced insights, this book is your companion for mastering prompt engineering and building innovative GPT applications. FEATURES: Discusses the fundamental groundwork for understanding prompts, their role in guiding AI models, and their impact on the quality of generated responses Provides real-world applications demonstrating how prompt engineering is applied across various domains, from customer support and education to business and technical fields Includes a chapter on GPT-4 Plugins showing how to extend the capabilities of GPT-4 and create more versatile AI-powered applications Describes techniques for formulating clear and direct questions to obtain precise answers from AI models