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| chat gpt prompt engineering for developers: 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. |
| chat gpt prompt engineering for developers: The Secrets of ChatGPT Prompt Engineering for Non-Developers Cea West, Become a prompt engineer with the help of this practical guide. With broad applicability across various topics such as copywriting, SEO, book writing, fiction, and non-fiction, this comprehensive guide provides valuable insights for anyone interested in exploring the art of prompt engineering. Learn practical strategies to monetize your use of ChatGPT while enhancing your writing and communication skills. Boost the efficiency and productivity of content creation by implementing the actionable knowledge gained from this book. |
| chat gpt prompt engineering for developers: Prompt Engineering Using ChatGPT Mehrzad Tabatabaian, 2024-06-17 This book provides a structured framework for exploring various aspects of prompt engineering for ChatGPT, from foundational principles to advanced techniques, real-world applications, and ethical considerations. It aims to guide readers in effectively harnessing the capabilities of ChatGPT through well-crafted prompts to achieve their goals. The digital age has ushered in a new era of communication, one where the boundaries between human and machine are becoming increasingly blurred. Artificial Intelligence (AI) technology, in its relentless evolution, has given rise to remarkable language models that can understand and generate human-like text. Prompt Engineering for ChatGPT, demystifies the intricacies of this ground breaking technology, offering insights and strategies to harness its capabilities. |
| chat gpt prompt engineering for developers: OpenAI GPT For Python Developers Aymen El Amri, 2024-05-21 OpenAI GPT for Python Developers is your comprehensive guide to mastering the integration of OpenAI's GPT models into your Python projects, enhancing applications with various AI capabilities from chat completions to AI avatars. Key Features Strategies for optimizing and personalizing GPT models for specific applications. Insights into integrating additional OpenAI technologies like Whisper and Weaviate. Strong emphasis on responsible AI development and deployment. Book Description“OpenAI GPT for Python Developers” is meticulously crafted to provide Python developers with a deep dive into the mechanics and applications of GPT technology, beginning with a captivating narrative on the evolution of OpenAI and the fundamental workings of GPT models. As readers progress, they will be expertly guided through the essential steps of setting up a development environment tailored for AI innovations, coupled with insightful advice on selecting the most appropriate GPT model to suit specific project needs. The guide progresses into practical tutorials that cover the implementation of chat completions and the art of prompt engineering, providing a solid foundation in harnessing the capabilities of GPT for generating human-like text responses. Practical applications are further expanded with discussions on the creation of autonomous AI-to-AI dialogues, the development of AI avatars, and the strategic use of AI in interactive applications. In addition to technical skills, this book addresses the ethical implications and prospects of AI technologies, encouraging a holistic view of AI development. The guide is enriched with detailed examples, step-by-step tutorials, and comprehensive explanations that illuminate the theoretical aspects and emphasize practical implementation.What you will learn Set up the development environment for OpenAI GPT. Understand and choose the right GPT model for your needs. Implement advanced prompt engineering techniques. Explore embedding and advanced embedding examples. Utilize OpenAI's Whisper for speech recognition and translation. Integrate OpenAI TTS models for text-to-speech applications. Who this book is for This book is designed for readers at an intermediate to advanced level who have a basic understanding of machine learning concepts and are eager to expand their expertise in AI with a focus on OpenAI's technologies. Ideal for those involved in AI-driven projects, the book assumes familiarity with Python programming and a fundamental grasp of AI principles. It’s especially beneficial for developers aiming to integrate GPT models into applications, AI researchers, and technical professionals involved in AI product development. |
| chat gpt prompt engineering for developers: 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 it Design a complete prompt-crafting strategy for an application Gather, triage, and present context elements to make an efficient prompt Master specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG |
| chat gpt prompt engineering for developers: ChatGPT Prompt Engineering Mastery Playbook Dwayne Anderson, 2023-05-18 ChatGPT Prompt Engineering Mastery Playbook : 1000+ Prompts For Startup and Business is a comprehensive guide that equips entrepreneurs, business professionals, and startup enthusiasts with practical strategies to leverage ChatGPT prompts for enhanced productivity and business growth. This book, the third installment in a series, offers valuable insights and frameworks to navigate the business landscape effectively. The book begins by emphasizing the skill of generating high-quality and relevant responses from ChatGPT. Readers learn techniques to optimize their interactions with the AI model, extracting valuable insights and making informed decisions. With a focus on mastering ChatGPT prompts, the book provides actionable tips to improve communication and achieve desired outcomes. Next, ChatGPT prompts based on frameworks are introduced. These serve as powerful templates to address specific business challenges. Readers gain a systematic approach to enhance productivity, develop business proposals, manage time, and increase return on investment (ROI). Useful prompts for general productivity, daily goal setting, performance reviews, benefit analysis, and unique selling points are provided. The book covers a range of prompts tailored to different business needs. It explores prompts related to business data compliance, brand identity analysis, market trends, and product-market fit, offering valuable insights for strategic decision-making. Readers gain guidance on performance reviews, benefit analysis, and market trend assessment, enabling data-driven decision-making and adaptive strategies. Specific areas of startup and business management are also addressed as it offers guidance on developing business proposals, managing time effectively, and ensuring compliance with data regulations. It also provides insights into analyzing brand identity, increasing ROI, and achieving product-market fit, helping readers stay competitive in the marketplace. |
| chat gpt prompt engineering for developers: 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. |
| chat gpt prompt engineering for developers: Increasing Productivity with Prompt Engineering Alex Stirling, 2024-01-10 Increasing Productivity with Prompt Engineering |
| chat gpt prompt engineering for developers: 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. |
| chat gpt prompt engineering for developers: Generative AI for Effective Software Development Anh Nguyen-Duc, |
| chat gpt prompt engineering for developers: Mastering NLP from Foundations to LLMs Lior Gazit, Meysam Ghaffari, 2024-04-26 Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book. |
| chat gpt prompt engineering for developers: ChatGPT for Java Bruce Hopkins, |
| chat gpt prompt engineering for developers: ChatGPT: Comprehensive Study On Generative AI Tool Midhun Moorthi C, Dr. K. Vimala Devi, Dr. V. Manjula, Tareek Pattewar, 2023-08-09 This book provides a thorough introduction to two cutting-edge technologies known as Generative AI and ChatGPT. Both of these technologies have received much attention in recent years. Generative AI and ChatGPT can completely reshape sectors and society as a whole by increasing productivity and innovation and making it possible to have more tailored experiences. The natural language processing tool, ChatGPT, powered by artificial intelligence technology, enables you to engage in human-like conversation with the chatbot and provides several other benefits. The language model can answer inquiries and assist with activities such as the composition of emails, essays, and code. This book aims to give a comprehensive overview of the technologies, architectures, and training techniques mentioned above, including their history, the process by which they were developed, and their present status. This book assists in discovering novel applications of these technologies that have been put into practice to generate quantifiable advantages, such as increased efficiency, customer happiness, security, and revenue growth. The book also discusses the book's potential applicability across a variety of sectors and use cases. |
| chat gpt prompt engineering for developers: Chat GPT 4 Unveiled: A Comprehensive Beginner's Guide to Mastering AI-Powered Conversations Guido Van, 2024-03-16 Dive into the fascinating world of artificial intelligence with Chat GPT 4 Unveiled. This comprehensive beginner's guide is your roadmap to mastering AI-powered conversations with ease. Whether you're new to the realm of AI or seeking to deepen your understanding, this book offers a clear and accessible introduction to Chat GPT 4. Unlock the secrets behind crafting engaging and meaningful conversations with AI. From understanding the fundamentals of natural language processing to harnessing the power of Chat GPT 4's advanced capabilities, this guide takes you on a journey from novice to expert. With practical tips, insightful examples, and hands-on exercises, Chat GPT 4 Unveiled empowers you to navigate the complexities of AI conversation with confidence. Say goodbye to confusion and hello to conversational excellence with this indispensable resource. |
| chat gpt prompt engineering for developers: Proceedings of Ninth International Congress on Information and Communication Technology Xin-She Yang, |
| chat gpt prompt engineering for developers: Computer Safety, Reliability, and Security. SAFECOMP 2024 Workshops Andrea Ceccarelli, |
| chat gpt prompt engineering for developers: Integrating Generative AI in Education to Achieve Sustainable Development Goals Doshi, Ruchi, Dadhich, Manish, Poddar, Sandeep, Hiran, Kamal Kant, 2024-06-03 A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AIs rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education. |
| chat gpt prompt engineering for developers: Software Engineering Meets Large Language Models Marc Jansen, Lambert Schmidt, 2024-07-08 |
| chat gpt prompt engineering for developers: Reuse and Software Quality Achilleas Achilleos, |
| chat gpt prompt engineering for developers: Proceedings of 6th International Conference on Civil Engineering and Architecture, Vol. 1 Thomas Kang, |
| chat gpt prompt engineering for developers: 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 |
| chat gpt prompt engineering for developers: Agile Processes in Software Engineering and Extreme Programming – Workshops Philippe Kruchten, Peggy Gregory, 2024-01-28 This open access book constitutes papers from the research workshops presented at XP 2022 and XP 2023, respectively the 23rd and 24th International Conferences on Agile Software Development, held on June 13-17, 2022 at the IT University of Copenhagen, Denmark and June 13-16, 2023 in Amsterdam, Netherlands. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. In 2022, the following workshops took place: ● 3rd International Workshop on Agility with Microservices Programming ● 2nd International Workshop on Agile Sustainability ● Agile and Education In 2023, six workshops were held: ● Workshop on Organisational Debt and Large-Scale Agile ● Workshop on Software-Intensive Business ● Workshop on Global and Hybrid Work ● Workshop on Fear-Based Agile Transformation ● Workshop on AI-assisted Agile ● Workshop on Agile-Quantum Software Engineering In 2022, 6 workshop papers were accepted for publication in these post-proceedings, out of 11 submissions, and in 2023, 15 papers were accepted for publication out of 38 submissions. |
| chat gpt prompt engineering for developers: Transforming Conversational AI Michael McTear, |
| chat gpt prompt engineering for developers: ChatGPT for Conversational AI and Chatbots Adrian Thompson, 2024-07-30 Explore ChatGPT technologies to create state-of-the-art chatbots and voice assistants, and prepare to lead the AI revolution Key Features Learn how to leverage ChatGPT to create innovative conversational AI solutions for your organization Harness LangChain and delve into step-by-step LLM application development for conversational AI Gain insights into security, privacy, and the future landscape of large language models and conversational AI Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models. This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available. By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.What you will learn Gain a solid understanding of ChatGPT and its capabilities and limitations Understand how to use ChatGPT for conversation design Discover how to use advanced LangChain techniques, such as prompting, memory, agents, chains, vector stores, and tools Create a ChatGPT chatbot that can answer questions about your own data Develop a chatbot powered by ChatGPT API Explore the future of conversational AI, LLMs, and ChatGPT alternatives Who this book is for This book is for tech-savvy readers, conversational AI practitioners, engineers, product owners, business analysts, and entrepreneurs wanting to integrate ChatGPT into conversational experiences and explore the possibilities of this game-changing technology. Anyone curious about using internal data with ChatGPT and looking to stay up to date with the developments in large language models will also find this book helpful. Some expertise in coding and standard web design concepts would be useful, along with familiarity with conversational AI terminology, though not essential. |
| chat gpt prompt engineering for developers: Human-Computer Interaction Masaaki Kurosu, |
| chat gpt prompt engineering for developers: LangChain for RAG Beginners - Build Your First Powerful AI GPT Agent Karel Hernandez Rodriguez, 2024-08-14 Dive into the world of advanced AI with Python LangChain for RAG Beginners ✔ Learn how to code Agentic RAG Powered Chatbot Systems. ✔ Empower your Agents with Tools ✔ Learn how to Create your Own Agents This comprehensive guide takes you on a journey through LangChain, an innovative framework designed to harness the power of Generative Pre-trained Transformers (GPTs) and other large language models (LLMs) for creating sophisticated AI-driven applications. Starting from the basics, this book provides a detailed understanding of how to effectively use LangChain to build, customize, and deploy AI applications that can think, learn, and interact seamlessly. You will explore the core concepts of LangChain, including prompt engineering, memory management, and Retrieval Augmented Generation (RAG). Each chapter is packed with practical examples and code snippets that demonstrate real-world applications and use cases. Key highlights include: Getting Started with LangChain: Learn the foundational principles and set up your environment. Advanced Prompt Engineering: Craft effective prompts to enhance AI interactions. Memory Management: Implement various memory types to maintain context and continuity in conversations. Retrieval Augmented Generation (RAG): Integrate external knowledge bases to expand your AI's capabilities. Building Intelligent Agents: Create agents that can autonomously perform tasks and make decisions. Practical Use Cases: Explore building a chat agent with web UI that allows you chatting with documents, web retrieval, vector databases for long term memory and much more ! Whether you are an AI enthusiast, a developer looking to integrate AI into your projects, or a professional aiming to stay ahead in the AI-driven world, Python LangChain for RAG Beginners provides the tools and knowledge to elevate your AI skills. Embrace the future of AI and transform your ideas into powerful, intelligent applications with LangChain. |
| chat gpt prompt engineering for developers: Prompt Engineering for Everyone David Scott Bernstein, 2023-08-15 **Discover the Power of Prompt Engineering to Unlock ChatGPT**Unlock the full potential of ChatGPT and AI-language models with *Prompt Engineering for Everyone*, a groundbreaking guide co-authored by ChatGPT itself. This comprehensive book takes you on a transformative journey into the realm of AI language models, providing practical techniques to craft compelling prompts and revolutionize your interactions with artificial intelligence.From essential prompt writing skills to advanced techniques, this book equips you with the tools to optimize and evaluate prompts, tackle complex topics, and leverage multiple types of prompts. Gain clarity and precision in your AI interactions by learning the art of crafting clear and effective prompts, while understanding the ethics of prompt writing.Step into the future of AI technology with visionary concepts and stay ahead in the rapidly evolving landscape of prompt engineering. Explore the bonus pack for essential prompts and elevate your prompt engineering skills. Get ready to unlock a world of endless possibilities with ChatGPT and prompt engineering! Learn more at https://passprog.com. |
| chat gpt prompt engineering for developers: HCI International 2024 Posters Constantine Stephanidis, |
| chat gpt prompt engineering for developers: Bridging the Gap Between AI and Reality Bernhard Steffen, 2023-12-13 This book constitutes the proceedings of the First International Conference on Bridging the Gap between AI and Reality, AISoLA 2023, which took place in Crete, Greece, in October 2023. The papers included in this book focus on the following topics: The nature of AI-based systems; ethical, economic and legal implications of AI-systems in practice; ways to make controlled use of AI via the various kinds of formal methods-based validation techniques; dedicated applications scenarios which may allow certain levels of assistance; and education in times of deep learning. |
| chat gpt prompt engineering for developers: AI-Assisted Programming Tom Taulli, 2024-04-10 Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs |
| chat gpt prompt engineering for developers: The Self-Taught Programmer Cory Althoff, 2022-01-13 |
| chat gpt prompt engineering for developers: Developing Apps with GPT-4 and ChatGPT Olivier Caelen, Marie-Alice Blete, 2023-08-29 This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more |
| chat gpt prompt engineering for developers: Proceedings of TEEM 2023 José Alexandre de Carvalho Gonçalves, |
| chat gpt prompt engineering for developers: Ultimate ChatGPT Handbook for Enterprises Dr. Harald Gunia, Massimiliano Zattera, Karolina Galińska, 2023-11-20 Empowering the Global Workforce with ChatGPT Expertise. KEY FEATURES ● Comprehensive Guide to GPT Evolution, AI Capabilities, and Prompt Engineering. ● Design Patterns for Enterprise Personas, Architectures, and AI Assistants. ● Management of the GPT Solution Development Cycle. DESCRIPTION “Ultimate ChatGPT Handbook for Enterprises” is your indispensable resource for navigating the transformative world of ChatGPT within the enterprise domain. It provides a deep dive into ChatGPT's evolution, capabilities, and its potential to democratize technology interactions through natural language. Throughout its chapters, you'll embark on a journey that spans from comprehending the lineage of GPT models to mastering advanced prompt engineering techniques. It will help you take a step into a futuristic enterprise landscape where ChatGPT seamlessly collaborates with human intelligence, fundamentally transforming daily work routines across various enterprise roles. The latter chapters will help you attain proficiency in managing GPT projects, discovering the agile and iterative approach to GPT solution life cycles using real-world scenarios. You will also be introduced to practical GPT implementation frameworks for both Python and Java. This book offers practical insights and applicable skills, fostering informed dialogue and active participation in the ongoing enterprise AI revolution. If you want to stay at the forefront of the rapidly evolving AI landscape and unlock enterprise excellence through ChatGPT, this book is your go-to companion. WHAT WILL YOU LEARN ● Discover strategies to maximize ChatGPT's capabilities, fostering innovation and process optimization across global industry sectors. ● Develop proficiency in crafting effective prompts using Prompt Engineering for seamless AI interactions, enhancing ChatGPT's utility in enterprise contexts. ● Acquire the expertise to design intelligent assistants that elevate enterprise operations, promoting efficiency and innovation. ● Gain practical skills to implement ChatGPT solutions using Python and Java, enabling seamless integration with your enterprise systems. ● Learn effective project management from initiation to validation and change management, ensuring successful GPT solution implementation in enterprises. ● Explore how ChatGPT can reshape various roles, boosting productivity and fostering harmonious AI-human collaboration in the workplace. WHO IS THIS BOOK FOR? This book is designed for business professionals, IT specialists, and AI enthusiasts who are eager to delve into the transformative world of ChatGPT and its applications in the enterprise landscape. A foundational understanding of AI concepts and familiarity with enterprise dynamics will be beneficial, but not mandatory, as the book is structured to guide readers from basic concepts to advanced implementations, catering to both novices and experts alike. TABLE OF CONTENTS 1. From GPT-1 to ChatGPT-4: The Evolution Towards Generative AI 2. CapabilityGPT An Enterprise AI-Capability Framework for ChatGPT 3. The Impact of ChatGPT on the Enterprise 4. Architecture Patterns enabled by GPT-Models 5. Advanced GPT Prompt Engineering Techniques 6. Designing Prompt-based Intelligent Assistants 7. Mastery of GPT-Projects 8. LangChain: GPT Implementation Framework for Python 9. predictive-powers: GPT Implementation Framework for Java APPENDIX A: APPENDIX B: |
| chat gpt prompt engineering for developers: ChatBot and the New Future of Content Creations Dwayne anderson, 2023-01-23 ChatBot and the New Future of Content Creations is a comprehensive guide for anyone looking to harness the power of Chat GPT, a cutting-edge language model, for content creation and marketing purposes. The book provides an introduction to Chatbot and its capabilities in content creation . It delves into the various ways that Chatbot can be trained and used to generate ideas and content for disruptive innovation, conversational AI, and personalized marketing. The book covers the integration of chatbots and virtual assistants for customer engagement and conversion, as well as its role in building dialogue systems for customer engagement. The book also covers the use of Chat GPT for social media content creation and its potential in education and learning with the help of text generation. Additionally, the book explores capabilities in language translation for global marketing and building knowledge graph for personalized marketing. Moreover, the book covers the limitations and challenges of using Chatbot for marketing, and provide strategies for addressing them. The book concludes with a chapter on the potential future developments and improvements for Chatbot for content creations in marketing and how it may evolve in the future for marketing purposes. Chatbot and the New Future of Content Creation is a valuable resource for anyone looking to stay ahead of the curve in an ever-evolving digital landscape. It provides a comprehensive look at the capabilities and limitations of Chatbot in content creations, as well as strategies for using it effectively for marketing purposes. It's a must-read for content creators, marketers, and solution providers who want to harness the power of Chatbot for content creations for their business. The book not only explains the technical aspects of but also provides practical examples and use cases that help readers understand how to apply the technology in their own contexts. |
| chat gpt prompt engineering for developers: AI-Assisted Programming for Web and Machine Learning Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar, 2024-08-30 Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle book includes a free PDF copy Key Features Utilize prompts to enhance frontend and backend web development Develop prompt strategies to build robust machine learning models Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications Book DescriptionAI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks. Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.What you will learn Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT Use an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycle Develop the frontend and backend of a web application with AI assistance Build machine learning models with GitHub Copilot and ChatGPT Refactor code and fix faults for better efficiency and readability Improve your codebase with rich documentation and enhanced workflows Who this book is for Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work. |
| chat gpt prompt engineering for developers: Advances in Systems Engineering Henry Selvaraj, Grzegorz Chmaj, Dawid Zydek, 2023-08-03 This book presents the proceedings of the 30th International Conference on Systems Engineering held at the University of Nevada, Las Vegas (UNLV), USA, during August 22-24, 2023. Research in the discipline of Systems Engineering is an important concept in the advancement of engineering and information sciences. Systems Engineering attempts to integrate many of the traditional engineering disciplines to solve large complex functioning engineering systems, dependent on components from all the disciplines. The research papers contained in these proceedings reflect the state of the art in systems engineering from all over the world and should serve as vital references to researchers to follow. The topics covered in this book include AeroSpace Systems, Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Machine Learning and Analytics, Internet of Things, Applied Media Informatics and Technology, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems, and others. This book is a very good resource for graduate students, researchers, and scholars who want to learn about the most recent development in the fields. |
| chat gpt prompt engineering for developers: Generative AI Security Ken Huang, |
| chat gpt prompt engineering for developers: Logistics Information Systems Batuhan Kocaoglu, |
| chat gpt prompt engineering for developers: Maximizing Productivity with ChatGPT Jason Brownlee, Adrian Tam, Matthew Mayo, Abid Ali Awan, Kanwal Mehreen, 2023-07-25 ChatGPT is one of the leading models in the AI language model arena and is widely used in various fields. With ChatGPT, you can effortlessly harness the power of AI to improve your efficiency with just a few well-crafted prompts. Many productivity-boosting tasks are facilitated by ChatGPT, so understanding how to interact with it paves the way for you to leverage the power of advanced AI. This ebook is written in the engaging and approachable style that you’re familiar with from the Machine Learning Mastery series. Discover exactly how to get started and apply ChatGPT to your own productivity, learning, or creativity projects. |
A Prompt Pattern Catalog to Enhance Prompt Engineering …
This paper describes a catalog of prompt engineering tech- niques presented in pattern form that have been applied to solve common problems when conversing with LLMs.
ChatGPT Prompt Patterns for Improving Code Quality, …
Abstract—This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as …
Prompt Engineering For ChatGPT: A Quick Guide To …
To fully harness the potential of ChatGPT, it is crucial to understand and master the art of prompt engineering—the process of designing and refining input prompts to elicit desired responses …
Welcome to the 100 ChatGPT Prompts for Developers! Web
This is a collection of prompt examples to be used with the ChatGPT model to help you get the most out of this powerful platform. In this repository, you will find a variety of prompts that can …
Chat Gpt Prompt Engineering For Developers [PDF]
Developers Aymen El Amri,2024-05-21 OpenAI GPT for Python Developers is your comprehensive guide to mastering the integration of OpenAI s GPT models into your Python …
Mastering ChatGPT: Best Practices for Prompt Engineering
Feb 3, 2025 · Her diverse skill set includes proficiency in programming languages such as C, C++, and Java, and a strong command of analytical tools, making her a dynamic contributor in …
AI-301: ChatGPT/GPT API Prompt Engineering for Developers …
Besides gaining a basic understanding of the concepts of prompt engineering, students will also make extensive lab exercises using the OpenAI ChatGPT/GPT Python API to see how these …
Prompt Engineering Using ChatGPT: Crafting Effective …
Although there are so many AI innovations, like GeminiTM, Bing Chat, Claude TM, and Llamas, our focus is on ChatGPT and its iterations. This choice was driven by our goal to introduce you …
ChatGPT Prompting Cheat Sheet - Finxter
Note: Prompt engineering designs and optimizes prompts for language models. It's important in NLP and language generation. Prompt formats guide the model and can be used for tasks like …
A Prompt Pattern Catalog to Enhance Prompt Engineering …
Prompt engineering is becoming a critical skill for software developers by facilitating enhanced interactions with conversational large language models (LLMs), such as ChatGPT, Claude, …
Using GPT-4 with prompt engineering - London Stock …
In this paper, we aim to demonstrate the role of prompt engineering in GPT models in improving performance for sentiment and theme classification using financial text data. The results were …
Improving ChatGPT Prompt for Code Generation - arXiv.org
To answer these questions, we conducted experiments using the CodeXGlue dataset to evaluate ChatGPT’s capabilities for two code generation tasks, including text-to-code and code-to-code …
Mastering ChatGPT: Best Practices for Prompt Engineering
Her diverse skill set includes proficiency in programming languages such as C, C++, and Java, and a strong command of analytical tools, making her a dynamic contributor in the field of IT …
ChatGPT Prompt Patterns for Improving Code Quality, …
We introduce a variety of prompt patterns in this chapter, ranging from patterns that simulate and reason about systems early in the design phase to patterns that help alleviate issues with LLM …
A Novel Approach for Rapid Development Based on ChatGPT …
Created a novel Prompt engineering tool that achieves a comprehensive optimization of prompts by dynamically encapsulating the original input. ⚫ Backend Service.
Chat Gpt Prompt Engineering For Developers (2024)
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 …
A Prompt Pattern Catalog to Enhance Prompt Engineering …
Motivating the need for prompt engineering. Programming first-generation LLMs,
Chat Gpt Prompt Engineering For Developers - old.icapgen.org
Developers Aymen El Amri,2024-05-21 OpenAI GPT for Python Developers is your comprehensive guide to mastering the integration of OpenAI s GPT models into your Python …
Prompt Engineering of ChatGPT to Improve Generated Code …
This paper presents the results of a study comparing the runtime performance of the best performing coding solution selected from 100 solutions generated with ChatGPT to the top …
Do Prompt Patterns Affect Code Quality? A First Empirical …
Research indicates that prompt engineering—the practice of design-ing inputs to direct LLMs toward generating relevant outputs—may help address these challenges. In this regard, …
ChatGPT Prompt Engineering for Developers - DeepLearnin…
Level up your use of LLMs with prompt engineering best practices. Learn to automate workflows, chain LLM calls, and build a custom chatbot.
ChatGPT Prompt Engineering for Developers - Coursera
Use API access to leverage LLMs into your own applications, and learn to build a custom chatbot. In ChatGPT Prompt Engineering for Developers, …
ChatGPT Prompt Engineering for Developers - DataCamp
Discover advanced techniques for prompt engineering, empowering you to design more effective and precise prompts for language models. Learn …
ChatGPT Prompt Engineering for Developers - GitHub
This course, offered by DeepLearning.AI and taught by Andrew Ng and Isa Fulford, provides developers with a comprehensive guide to prompt …
Upskilling: ChatGPT Prompt Engineering for Developers …
May 25, 2023 · Like most developers today, I'm upskilling on the new Generative AI technologies like OpenAI's ChatGPT, Microsoft Bing …
