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The Quick Guide to Prompt Engineering by Ian Khan Pdf
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.
Prompt Engineering for Generative AI by James Phoenix,Mike Taylor Pdf
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
Prompt Engineering for Generative AI by James Phoenix,Mike Taylor Pdf
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
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
Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation by Sharma, Ramesh C.,Bozkurt, Aras Pdf
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.
Prompt Engineering for Generative AI by James Phoenix,Mike Taylor Pdf
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
Prompt Engineering Using ChatGPT by Mehrzad Tabatabaian Pdf
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
AI Unraveled - Master GPT-4, Gemini, Generative AI, LLMs, Prompt Engineering: A simplified Guide For Everyday Users by Etienne Noumen Pdf
Dive into the revolutionary world of Artificial Intelligence with 'AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence'. This comprehensive guide is your portal to understanding AI's most intricate concepts and cutting-edge developments. Whether you're a curious beginner or an AI enthusiast, this book is tailored to unveil the complexities of AI in a simple, accessible manner. What's Inside: Fundamental AI Concepts: Journey through the basics of AI, machine learning, deep learning, and neural networks. AI in Action: Explore how AI is reshaping industries and society, diving into its applications in computer vision, natural language processing, and beyond. Ethical AI: Tackle critical issues like AI ethics and bias, understanding the moral implications of AI advancements. Industry Insights: Gain insights into how AI is revolutionizing industries and impacting our daily lives. The Future of AI: Forecast the exciting possibilities and challenges that lie ahead in the AI landscape. Special Focus on Generative AI & LLMs: Latest AI Trends: Stay updated with the latest in AI, including ChatGPT, Google Bard, GPT-4, Gemini, and more. Interactive Quizzes: Test your knowledge with engaging quizzes on Generative AI and Large Language Models (LLMs). Practical Guides: Master GPT-4 with a simplified guide, delve into advanced prompt engineering, and explore the nuances of temperature settings in AI. Real-World Applications: Learn how to leverage AI in various sectors, from healthcare to cybersecurity, and even explore its potential in areas like aging research and brain implants. For the AI Enthusiast: Prompt Engineering: Uncover secrets to crafting effective prompts for ChatGPT/Google Bard. AI Career Insights: Explore lucrative career paths in AI, including roles like AI Prompt Engineers. AI Investment Guide: Navigate the world of AI stocks and investment opportunities. Your Guide to Navigating AI: Do-It-Yourself Tutorials: From building custom ChatGPT applications to running LLMs locally, this book offers step-by-step guides. AI for Everyday Use: Learn how AI can assist in weight loss, social media, and more. 'AI Unraveled' is more than just a book; it's a resource for anyone looking to grasp the complexities of AI and its impact on our world. Get ready to embark on an enlightening journey into the realm of Artificial Intelligence!" More Topics Covered: Artificial Intelligence, Machine Learning, Deep Learning, NLP, AI Ethics, Robotics, Cognitive Computing, ChatGPT, OpenAI, Google Bard, Generative AI, LLMs, AI in Healthcare, AI Investments, and much more. GPT-4 vs Gemini: Pros and Cons Mastering GPT-4: Simplified Guide For everyday Users Advance Prompt Engineering Techniques: [Single Prompt Technique, Zero-Shot and Few-Shot, Zero-Shot and Few-Shot, Generated Knowledge Prompting, EmotionPrompt, Chain of Density (CoD), Chain of Thought (CoT), Validation of LLMs Responses, Chain of Verification (CoVe), Agents - The Frontier of Prompt Engineering, Prompt Chaining vs Agents, Tree of Thought (ToT), ReAct (Reasoning + Act), ReWOO (Reasoning WithOut Observation), Reflexion and Self-Reflection, Guardrails, RAIL (Reliable AI Markup Language), Guardrails AI, NeMo Guardrails] Understanding Temperature in GPT-4: A Guide to AI Probability and Creativity Retrieval-Augmented Generation (RAG) model in the context of Large Language Models (LLMs) like GPT-4 Prompt Ideas for ChatGPT/Google Bard How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps ChatGPT Custom Instructions Settings for Power Users Examples of bad and good ChatGPT prompts Top 5 Beginner Mistakes in Prompt Engineering Use ChatGPT like a PRO Prompt template for learning any skill Prompt Engineering for ChatGPT The Future of LLMs in Search What is Explainable AI? Which industries are meant for XAI? ChatGPT Best Tips, Cheat Sheet LLMs Utilize Vector DB for Data Storage The Limitation Technique in Prompt Responses Use ChatGPT to learn new subjects Prompts to proofread anything Topics: Artificial Intelligence Education Machine Learning Deep Learning Reinforcement Learning Neural networks Data science AI ethics Deepmind Robotics Natural language processing Intelligent agents Cognitive computing AI Apps AI impact AI Tech ChatGPT Open AI Safe AI Generative AI Discriminative AI Sam Altman Google Bard NVDIA Large Language Models (LLMs) PALM GPT Explainable AI GPUs AI Stocks AI Podcast Q* AI Certification AI Quiz RAG How to access the AI Unraveled print and audiobook: Amazon print book: https://amzn.to/3xvCfWR Audible at Amazon : https://www.audible.com/pd/B0BXMJ7FK5/?source_code=AUDFPWS0223189MWT-BK-ACX0-343437&ref=acx_bty_BK_ACX0_343437_rh_us (Use Promo code: 37YT3B5UYUYZW) Audiobook at Google: https://play.google.com/store/audiobooks/details?id=AQAAAEAihFTEZM Amazon eBook: https://amzn.to/3KbshkO Google eBook: https://play.google.com/store/books/details?id=oySuEAAAQBAJ Apple eBook: http://books.apple.com/us/book/id6445730691
Welcome to the Future of Creativity: Generative AI In the ever-evolving cosmos of technology, we've catapulted from mere digital automation to a realm where machines don't just 'do'-they create, they dream, they innovate. Generative AI isn't just an algorithmic puppet. It's a maestro, composing symphonies of ideas and concepts beyond our wildest imaginations. It's time we explore, dissect, and propagate the nuances of Generative AI with an audacious flair! This book will take you pn a journey through the art and science of Prompt Engineering
Mastering PROMPT Engineering by Krishna Debnath Pdf
"Unlock the Potential of Generative AI with PROMPT Engineering" In this groundbreaking guide, author Krishna Debnath introduces you to the transformative world of Generative AI and the innovative PROMPT framework. Whether you're a student, a professional, or just curious about the power of AI, this book is your key to enhanced productivity. Discover how Generative AI, like ChatGPT, can become your creative assistant, revolutionizing content generation, language translation, and problem-solving. Dive into the PROMPT framework, an ingenious tool ensuring precision in your AI interactions. Learn to craft well-structured prompts that yield valuable results. Krishna's journey from curious novice to proficient user is the backdrop for your exploration. Real-life scenarios, practical applications, and case studies demonstrate how PROMPT engineering can reshape your work, projects, and daily tasks. With the correct prompts and AI, productivity knows no bounds. Embark on a journey bridging the gap between AI capabilities and everyday life. Whether you're looking to ace assignments, streamline your workflow, or unlock the potential of Generative AI, this book is your practical guide to success. Are you ready to transform your approach to productivity and innovation? Dive into the incredible world of Generative AI and PROMPT engineering today.
Generative AI for Cloud Solutions by Paul Singh,Anurag Karuparti Pdf
Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
Regulating Hate Speech Created by Generative AI by Jay Liebowitz Pdf
Regulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include: Generative AI and social engines of hate An introduction to generative Artificial Intelligence application, trends, and ethics The mechanics and validation of generative AI outcomes An evaluation of Generative AI for hate speech detection Best practices and key considerations for AI regulation Using GenAI capabilities for early detection of threats in the digital environment. This book is a hard look at ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book examines guidelines for regulating generative AI models, so they do not contribute to online hate disinformation and imagery.
