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| courses on prompt engineering: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| courses on prompt engineering: The Quick Guide to Prompt Engineering Ian Khan, 2024-03-19 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. |
| courses on prompt engineering: The Prompt Engineer's Handbook: Effective Prompts for Optimal Results Alexander Schmidt, 2024-05-24 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. |
| courses on prompt engineering: LLM Prompt Engineering for Developers Aymen El Amri, 2024-05-23 Explore the dynamic field of LLM prompt engineering with this book. Starting with fundamental NLP principles & progressing to sophisticated prompt engineering methods, this book serves as the perfect comprehensive guide. Key Features In-depth coverage of prompt engineering from basics to advanced techniques. Insights into cutting-edge methods like AutoCoT and transfer learning. Comprehensive resource sections including prompt databases and tools. Book DescriptionLLM Prompt Engineering For Developers begins by laying the groundwork with essential principles of natural language processing (NLP), setting the stage for more complex topics. It methodically guides readers through the initial steps of understanding how large language models work, providing a solid foundation that prepares them for the more intricate aspects of prompt engineering. As you proceed, the book transitions into advanced strategies and techniques that reveal how to effectively interact with and utilize these powerful models. From crafting precise prompts that enhance model responses to exploring innovative methods like few-shot and zero-shot learning, this resource is designed to unlock the full potential of language model technology. This book not only teaches the technical skills needed to excel in the field but also addresses the broader implications of AI technology. It encourages thoughtful consideration of ethical issues and the impact of AI on society. By the end of this book, readers will master the technical aspects of prompt engineering & appreciate the importance of responsible AI development, making them well-rounded professionals ready to focus on the advancement of this cutting-edge technology.What you will learn Understand the principles of NLP and their application in LLMs. Set up and configure environments for developing with LLMs. Implement few-shot and zero-shot learning techniques. Enhance LLM outputs through AutoCoT and self-consistency methods. Apply transfer learning to adapt LLMs to new domains. Develop practical skills in testing & scoring prompt effectiveness. Who this book is for The target audience for LLM Prompt Engineering For Developers includes software developers, AI enthusiasts, technical team leads, advanced computer science students, and AI researchers with a basic understanding of artificial intelligence. Ideal for those looking to deepen their expertise in large language models and prompt engineering, this book serves as a practical guide for integrating advanced AI-driven projects and research into various workflows, assuming some foundational programming knowledge and familiarity with AI concepts. |
| courses on prompt engineering: The Prompt Engineer's Handbook Alex Stirling, 2024-01-10 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! |
| courses on prompt engineering: Prompt Engineering for Generative AI James Phoenix, Mike Taylor, 2024-05-16 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 |
| courses on prompt engineering: How to become a prompt engineer - A comprehensive Guide to start your prompt engineer career Bernhard Gaum, 2024-11-11 Unlock the secrets to mastering AI communication with *How to Become a Prompt Engineer*. As artificial intelligence continues to shape our world, the ability to craft effective prompts has become an essential skill for anyone looking to harness the full potential of AI systems. This guide provides a comprehensive introduction to the art and science of prompt engineering, empowering you to create clear, relevant, and powerful AI interactions. Through practical techniques, real-world examples, and hands-on activities, you'll learn how to design prompts that yield accurate and meaningful responses. From avoiding common pitfalls to refining prompts through iteration, each chapter equips you with the tools and strategies to improve AI outputs and navigate complex AI applications. Whether you're a tech enthusiast, content creator, developer, or just curious about AI, *How to Become a Prompt Engineer* will help you master the skills needed to succeed in the fast-evolving world of AI and natural language processing. Start your journey today and discover how to transform simple queries into sophisticated AI-driven solutions! |
| courses on prompt engineering: Prompt Engineering for LLMs John Berryman, Albert Ziegler, 2024-11-04 Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs. Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications. Understand LLM architecture and learn how to best interact with itDesign a complete prompt-crafting strategy for an applicationGather, triage, and present context elements to make an efficient promptMaster specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG |
| courses on prompt engineering: Prompt Engineering for Large Language Models Nimrita Koul, 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. |
| courses on prompt engineering: A Short and Practical Textbook of Prompt Engineering Dr Samuel Inbaraja S, 2023-12-06 Consider a scenario where you wish to engage in a conversation with a computer system that can not only understand your natural language but also respond in a meaningful and informative way. This is precisely the goal of prompt engineering, a technique that enables users to harness the power of large language models (LLMs) to perform a wide range of tasks, from generating creative text formats to answering questions, translating languages, and engaging in meaningful conversations. This practical textbook has examples in every chapter and practical exercises at various place to facilitate learning. There are 15 chapters with references and comprehensible content. Learn prompt engineering and improve your chances of landing a job in the new normal of the AI economy in the evolving AI civilization. |
| courses on prompt engineering: Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation Sharma, Ramesh C., Bozkurt, Aras, 2024-02-07 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. |
| courses on prompt engineering: Unlocking the Secrets of Prompt Engineering Gilbert Mizrahi, 2024-01-12 Enhance your writing with AI by mastering prompt engineering techniques and become an expert in developing and utilizing LLM prompts across applications Key Features Master prompt engineering techniques to harness AI's writing potential Discover diverse LLM applications for content creation and beyond Learn through practical examples, use cases, and hands-on guidance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnlocking the Secrets of Prompt Engineering is your key to mastering the art of AI-driven writing. This book propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance. Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry. The book covers advanced use cases such as creating and promoting podcasts, integrating LLMs with other tools, and using AI for chatbot development. But that’s not all. You'll also delve into the ethical considerations, best practices, and limitations of using LLM prompts as you experiment and optimize your approach for best results. By the end of this book, you'll have unlocked the full potential of AI in writing and content creation to generate ideas, overcome writer's block, boost productivity, and improve communication skills.What you will learn Explore the different types of prompts, their strengths, and weaknesses Understand the AI agent's knowledge and mental model Enhance your creative writing with AI insights for fiction and poetry Develop advanced skills in AI chatbot creation and deployment Discover how AI will transform industries such as education, legal, and others Integrate LLMs with various tools to boost productivity Understand AI ethics and best practices, and navigate limitations effectively Experiment and optimize AI techniques for best results Who this book is for This book is for a wide audience, including writers, marketing and business professionals, researchers, students, tech enthusiasts, and creative individuals. Anyone looking for strategies and examples for using AI co-writing tools like ChatGPT effectively in domains such as content creation, drafting emails, and inspiring artistic works, will find this book especially useful. If you are interested in AI, NLP, and innovative software for personal or professional use, this is the book for you. |
| courses on prompt engineering: A Teacher’s Guide to Conversational AI David A. Joyner, 2024-05-27 A Teacher’s Guide to Conversational AI explores the practical role that language-based artificial intelligence tools play in classroom teaching, learning experiences, and student assessment. Today’s educators are well aware that conversational and generative AI—chatbots, intelligent tutoring systems, large language models, and more—represent a complex new factor in teaching and learning. This introductory primer offers comprehensive, novice-friendly guidance into the challenges and opportunities of incorporating AI into K-12 schools and college classes in ways that are appropriate, nourishing to students, and outcomes-driven. Opening with an informative overview of the foundational properties, key terminology, and ethical considerations of these tools, the book offers a coherent and realistic vision of classrooms that are enhanced, rather than stymied, by AI systems. This includes strategies for: · designing assessments that are conducive to students’ beneficial use of AI while mitigating overreliance or dishonesty; · using AI to generate lesson examples for student critique or custom content that reinforces course principles; · leveraging chatbots as a co-instructor or a tutor, a guide during student-driven learning, a virtual debate or brainstorming partner, and a design project; and · creating course content, lesson plans and activities, expanded language and accessibility options, and beyond. Through the depth of understanding and applied approach provided in these chapters, teachers and leaders in training and in service, alongside private tutors, college instructors, and other educators, will be better prepared to future-proof their efforts to serve new generations of learners. |
| courses on prompt engineering: Advanced Prompt Engineering Tejaswini Bodake, 2024-05-17 The Advanced Prompt Engineering is your definitive guide to mastering the art and science of prompt engineering in natural language processing. From fine-tuning language models to crafting precise prompts, this book equips you with the knowledge and techniques needed to harness the full potential of language models. Dive deep into advanced concepts such as controlling model outputs, optimizing prompts for specific tasks, and collaborating effectively with subject matter experts. With practical examples, case studies, and hands-on exercises, this comprehensive resource empowers you to elevate your prompt engineering skills and revolutionize the way you interact with language models. Whether you're a seasoned practitioner or a newcomer to the field. |
| courses on prompt engineering: Creative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education David Guralnick, |
| courses on prompt engineering: Financial Freedom with ChatGPT and Prompt Engineering Ethan L. Sterling, Ph.D., 2024-01-16 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! |
| courses on prompt engineering: Converging Minds Aleksandra Przegalinska, Tamilla Triantoro, 2024-06-17 This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license. |
| courses on prompt engineering: Applications of Generative AI Zhihan Lyu, |
| courses on prompt engineering: Mastering Your Prompt Engineering Super Power Diana Ashcroft, 2023-09-26 In a world driven by data and powered by artificial intelligence, there's a superpower that's changing the game: Prompt Engineering. Join Diana Ashcroft, a seasoned data scientist and educator, on a journey through the dynamic landscape of prompt engineering in her latest book, Mastering Your Prompt Engineering Super Power. Prompt engineering is the key to unlocking the full potential of AI. In Mastering Your Prompt Engineering Super Power, Diana Ashcroft delves into the heart of this transformative field and reveals its immense significance. You'll discover how prompt engineering is reshaping industries, powering innovation, and shaping the future of society. Whether you're a seasoned AI professional or just starting your journey, Mastering Your Prompt Engineering Super Power is your guide to mastering prompt engineering. Diana takes complex concepts and distills them into practical, down-to-earth knowledge that anyone can grasp. You'll explore the realms of Natural Language Processing (NLP), Computer Vision, and more, gaining the skills needed to harness prompt engineering's incredible potential. Prompt engineering isn't just a buzzword; it's a force that's driving change in every sector. Diana provides real-world examples of how prompt engineering is making waves in industries like healthcare, finance, e-commerce, and beyond. You'll see how AI-powered prompts are enhancing productivity, improving customer experiences, and even revolutionizing education. Mastering Your Prompt Engineering Super Power isn't just a book; it's your passport to becoming a prompt engineering master. Diana guides you through hands-on techniques, tools, and frameworks used by professionals in the field. You'll learn to wield the power of AI-driven prompts to tackle complex tasks, from data preprocessing to model optimization. As we stand on the precipice of a new era, Diana Ashcroft illuminates the path forward. Discover how prompt engineering is shaping the future, from enabling smarter virtual assistants to aiding legal professionals in document analysis. The possibilities are endless, and Mastering Your Prompt Engineering Super Power equips you to seize them. |
| courses on prompt engineering: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| courses on prompt engineering: AI Foundations of Prompt Engineering Jon Adams, 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. |
| courses on prompt engineering: Software Testing with Generative AI Mark Winteringham, 2024-12-10 Speed up your testing and deliver exceptional product quality with the power of AI tools. The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. In Software Testing with Generative AI you’ll learn how to: • Spot opportunities to improve test quality with AI • Construct test automation with the support of AI tools • Formulate new ideas during exploratory testing using AI tools • Use AI tools to aid the design process of new features • Improve the testability of a context with the help of AI tools • Maximize your output with prompt engineering • Create custom LLMs for your business’s specific needs Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. In it, you’ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI. Foreword by Nicola Martin. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology There’s a simple rule in software testing: the more you test, the more you learn. And as any testing pro will tell you, good testing takes time. By integrating large language models (LLMs) and generative AI into your process, you can dramatically automate and enhance testing, improve quality and coverage, and deliver more meaningful results. About the book Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time. What's inside • Improve test quality and coverage • AI-powered test automation • Build agents that act as testing assistants About the reader For developers, testers, and quality engineers. About the author Mark Winteringham is an experienced software tester who teaches many aspects of software testing. He is the author of Testing Web APIs. The technical editor on this book was Robert Walsh. Table of Contents Part 1 1 Enhancing testing with large language models 2 Large language models and prompt engineering 3 Artificial intelligence, automation, and testing Part 2 4 AI-assisted testing for developers 5 Test planning with AI support 6 Rapid data creation using AI 7 Accelerating and improving UI automation using AI 8 Assisting exploratory testing with artificial intelligence 9 AI agents as testing assistants Part 3 10 Introducing customized LLMs 11 Contextualizing prompts with retrieval-augmented generation 12 Fine-tuning LLMs with business domain knowledge Appendix A Setting up and using ChatGPT Appendix B Setting up and using GitHub Copilot Appendix C Exploratory testing notes |
| courses on prompt engineering: Subject-Oriented Business Process Management. Models for Designing Digital Transformations Matthes Elstermann, |
| courses on prompt engineering: Computer Vision – ECCV 2022 Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, 2022-10-22 The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. |
| courses on prompt engineering: Navigating AI in Academic Libraries: Implications for Academic Research Sacco, Kathleen, Norton, Alison, Arms, Kevin, 2024-09-25 Today’s research scholars face the problem of how to effectively navigate the transformative impact of Artificial Intelligence (AI) while maintaining ethical integrity and scholarly rigor. AI technologies have permeated every aspect of scholarly inquiry, from information retrieval to research methodologies. As such, scholars grapple with the ethical implications, challenges, and opportunities presented by this technological revolution. Plagiarism, bias, and copyright issues in AI-assisted research threaten to undermine the integrity of academic scholarship. Navigating AI in Academic Libraries: Implications for Academic Research is presented as a groundbreaking solution to the complex challenges posed by AI integration in academia. This comprehensive volume serves as a guide for scholars seeking to navigate the intricacies of AI while upholding ethical standards and scholarly integrity. By addressing critical issues such as plagiarism detection, bias mitigation, and copyright concerns, the book equips scholars with the tools and strategies needed to harness the full potential of AI for academic inquiry. |
| courses on prompt engineering: Microprocessor-based Design Michael Slater, 1989 |
| courses on prompt engineering: GRASPED The Art of Prompt Engineering for Educational Tools Steven Brough, 2024-03-31 GRASPED The Art of Prompt Engineering for Educational Tools dives into the emerging discipline of prompt engineering within the realm of AI-driven education. This comprehensive guide elucidates the intricacies of designing prompts that effectively communicate with AI to produce tailored, engaging educational content. Through vivid scenarios, practical insights, and real-world case studies, the book provides educators, developers, and technologists with the tools needed to harness the full potential of AI in transforming learning experiences. The volume highlights the pivotal role of prompt engineering in bridging the gap between AI capabilities and educational goals. It offers a deep dive into strategies for crafting prompts that elicit desired responses from AI, ensuring content is pedagogically sound, engaging, and accessible to diverse learners. The book also addresses the challenges and ethical considerations inherent in prompt engineering, providing a roadmap for navigating these complexities with integrity and foresight. What makes GRASPED The Art of Prompt Engineering for Educational Tools so unique lies in its pioneering exploration of a critical yet underappreciated skill in the domain of educational technology. It stands out by offering a confluence of technical guidance, ethical considerations, and pedagogical insights, all aimed at empowering educators to leverage AI effectively. The book demystifies the complex interaction between human instruction and AI response, positioning prompt engineering as an essential competency in the digital age of education. |
| courses on prompt engineering: ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning , 2024-04-03 ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning |
| courses on prompt engineering: Smart Cities Bhisham Sharma, Manik Gupta, Gwanggil Jeon, 2024-08-06 This book aims to provide a comprehensive overview of the various services that are available to help cities develop their smart communities. It includes a variety of topics such as artificial intelligence, blockchain, advanced computing, and the Internet of Everything. Smart Cities: Blockchain, AI, and Advanced Computing is structured with independent chapters, each highlighting the current and future state-of-the-art technologies addressing smart city challenges. The book covers a variety of application areas, including healthcare, transportation, smart grids, supply chain management, and financial systems. There are both theoretical and empirical investigations in this book; they cover a wide range of topics related to smart city development and implementation, among others, all of which have a significant impact on the creation of smart cities. This book then examines the state‐of‐the‐art blockchain technology for smart city challenges and programs that might enhance the quality of life in urban areas and encourage cultural and economic growth. This book is written especially for the students, researchers, academicians, and industry professionals looking for initiatives and advancements in technologies with a primary focus on their implications for smart cities. |
| courses on prompt engineering: OCUP 2 Certification Guide Michael Jesse Chonoles, 2017-08-24 OCUP 2 Certification Guide: Preparing for the OMG Certified UML 2.5 Professional 2 Foundation Exam both teaches UML® 2.5 and prepares candidates to become certified. UML® (Unified Modeling Language) is the most popular graphical language used by software analysts, designers, and developers to model, visualize, communicate, test, and document systems under development. UML® 2.5 has recently been released, and with it a new certification program for practitioners to enhance their current or future career opportunities. There are three exam levels: Foundation, Intermediate, and Advanced. The exam covered in this book, Foundation, is a prerequisite for the higher levels. Author Michael Jesse Chonoles is a lead participant in the current OCUP 2 program—not only in writing and reviewing all the questions, but also in designing the goals of the program. This book distills his experience in modeling, mentoring, and training. Because UML® is a sophisticated language, with 13 diagram types, capable of modeling any type of modern software system, it takes users some time to become proficient. This effective resource will explain the material in the Foundation exam and includes many practice questions for the candidate, including sample problems similar to those found in the exam, and detailed explanations of why correct answers are correct and why wrong answers are wrong. - Written to prepare candidates for the OCUP 2 Foundation level exam while they learn UML® - Illustrated with UML® diagrams to clarify every concept and technique - Offers hints for studying and test-taking based on the specific nature and structure of the Foundation Level exam - Includes practice exam material, sample questions and exercises, warnings, tips, and points to remember throughout |
| courses on prompt engineering: Azure OpenAI Service for Cloud Native Applications Adrián González Sánchez, 2024-06-27 Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies |
| courses on prompt engineering: Algorithms Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| courses on prompt engineering: Programming Large Language Models with Azure Open AI Francesco Esposito, 2024-04-03 Use LLMs to build better business software applications Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. Artificial Intelligence expert Francesco Esposito helps you: Understand the history of large language models and conversational programming Apply prompting as a new way of coding Learn core prompting techniques and fundamental use-cases Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines Use natural language in code to define workflows and orchestrate existing APIs Master external LLM frameworks Evaluate responsible AI security, privacy, and accuracy concerns Explore the AI regulatory landscape Build and implement a personal assistant Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base Construct a conversational user interface For IT Professionals and Consultants For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts For anyone else interested in natural language processing or real-world applications of human-like language in software |
| courses on prompt engineering: Empower Your Nonprofit Amy Neumann, 2024-11-04 Your complete guide to AI in the nonprofit sector Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact is a comprehensive, accessible, and highly practical guide to harnessing the power of emerging AI technologies in the nonprofit sector. This book delivers strategic research, tools, case studies, and advice to help nonprofits advance their missions through AI, with interviews, outlooks, testimonials, and quotes from nonprofit leaders and influencers in the AI industry delivering key insight to all readers regardless of technical expertise. Readers will learn how to practically resolve the top 10 most common nonprofit pain points through the utilization of AI, backed by current case studies of AI implementation for core nonprofit functions like fundraising, grants, marketing, and initiative event optimization. In this book, readers will find information on: The nonprofit sector's critical missions, success factors, challenges, and needs of today AI as a way to automate inefficient internal processes, freeing talent to work on more inspired projects Tools, tips, and tricks to get started with AI as soon as today Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact earns a well-deserved spot on the bookshelves of all nonprofit leaders and involved donors seeking a comprehensive step-by-step guidebook on how this exciting new technology can be leveraged for greater nonprofit success. |
| courses on prompt engineering: Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023) K. Hemachandran, Raja Sarath Kumar Boddu, Waseem Alhasan, 2023-09-26 This is an open access book. With the continuous upgrading of network information technology, especially the combination of Internet - cloud computing - blockchain - Internet of things and other information technologies with social and economic activities, through the improvement of artificial intelligence, Internet and big data with high quality and fast processing efficiency, the economic form is transformed from industrial economy to information economy. This will greatly reduce social transaction costs, improve the efficiency of resource optimization, increase the added value of products, enterprises and industries, and promote the rapid development of social productivity. 2023 2nd International Conference on Artificial Intelligence, the Internet and the Digital Economy (ICAID 2023) will continue to focus on the latest research on Artificial intelligence, the Internet and the Digital Economy, and expand the research on technology and application of the integrated development of Digital Economy and Artificial Intelligence as the theme. The aim is to gather experts, scholars, researchers and related practitioners from around the world to share research results, discuss hot issues, and provide participants with cutting-edge technology information so that they can keep abreast of industry developments, the latest technologies and broaden their research horizons. The conference was held in Beijing, China on April 21-23, 2023. All experts and scholars are welcome to attend. |
| courses on prompt engineering: Machine Learning in Finance Matthew F. Dixon, Igor Halperin, Paul Bilokon, 2020-07-01 This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance. |
| courses on prompt engineering: HCI International 2023 – Late Breaking Posters Constantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy, 2024-01-12 This two-volme set CCIS 1957-1958 is part of the refereed proceedings of the 25th International Conference on Human-Computer Interaction, HCII 2023, which was held in Copenhagen, Denmark, in July 2023. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. |
| courses on prompt engineering: Transforming Conversational AI Michael McTear, |
| courses on prompt engineering: Success Reinvention Harvey Castro, MD, 2020-07-22 ABOUT THE BOOK: Success Reinvention will take you behind the scenes of one of the foremost thought leaders of our time. As an innovative entrepreneur, brilliant medical physician and visionary leader, Dr. Castro's recipe for success will allow you to break through even the most difficult obstacles and set backs in life. When you read this book and take action, you will find that your dreams manifest into reality, and your success is always in your control to invent and reinvent at every stage of your life. |
| courses on prompt engineering: Text and Math Into LaTeX George Gratzer, 2024 For more than 30 years, this comprehensive manual has been the standard introduction and complete reference for writing articles and books containing mathematical formulas. This sixth edition uses a slightly changed title, Text and Math into LaTeX, to emphasize the importance of text in mathematical/scientific composition. Sections that contained commands no longer much needed (such as \includeonly) and the introductory sections to PDF (now ubiquitous) have been omitted. Many sections are now enhanced with discussion of new and useful packages. An occasional encouragement for the reader to consult ChatGPT for confirmation on various points illustrates the positive relationship between ChatGPT and LaTeX. The new Chapter 17 describes recent developments that enhance, or replace, BibTeX; the new Appendix C, introduces the reader to ChatGPT. |
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