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| chatgpt chat history gone: ChatGPT For Dummies Pam Baker, 2023-05-22 Learn how the disruptive AI chatbot is going to change school, work, and beyond ChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it’s asked for. This powerful example of generative AI is widely predicted to upend education and business. In this book, you’ll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results. You’ll also explore the ethics of using AI-generated content for various purposes. Written by a journalist who's been on the front lines of artificial intelligence for over a decade, this book dives deep into ChatGPT’s potential, so you can make informed decisions—without asking ChatGPT for help. Learn how ChatGPT works and how it fits into the world of generative AI Harness the power of ChatGPT to help you, and avoid letting it hinder you Write queries that deliver the kind of response you want Take a look into how the ChatGPT API interacts with other tools and platforms This just-in-time Dummies title is perfect for any life or career may be impacted by ChatGPT and other AI. ChatGPT is just the tip of the iceberg, and this book can help you prepare for the future. |
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| chatgpt chat history gone: Killer ChatGPT Prompts Guy Hart-Davis, 2023-08-07 Unlock the full capabilities of ChatGPT at work, at home, and in your day-to-day By now, you’ve heard of ChatGPT and its incredible potential. You may even have tried to use it a few times just to see it in action for yourself. But have you ever wondered what ChatGPT is truly capable of? Killer ChatGPT Prompts: Harness the Power of AI for Success and Profit will show you the true power of Large Language Models (LLMs) like ChatGPT. In the book, veteran IT educator and trusted author Guy Hart-Davis shows you the exact prompts he’s discovered to unlock a huge variety of expert business writing, like emails and proposals, data analysis use cases, lesson plans, information exchange scripts, and more! You’ll also find: The perfect prompts for a huge array of job roles, including those in sales and marketing, web development, HR, customer support, and more Use cases for ChatGPT in the home, with your kids, and in your relationship Hundreds more prompts that will make your job, your home life, and your day-to-day so much easier There’s no doubt about it. LLMs—and ChatGPT—are here to stay. The only question is: Will you have the skills and the wherewithal to unleash its potential in your own life? Killer ChatGPT Prompts can guarantee that you will. |
| chatgpt chat history gone: 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. |
| chatgpt chat history gone: AI-Powered Profits: The Ultimate Guide to Making Money Online with ChatGPT M.B. Chatfield, AI-Powered Profits: Unleash the Power of ChatGPT to Unlock a New Era of Online Income In the ever-evolving landscape of digital commerce, artificial intelligence (AI) is poised to revolutionize the way we work, live, and earn. ChatGPT, a cutting-edge large language model (LLM), stands out as a powerful tool with the potential to transform your online earning potential. AI-Powered Profits: The Ultimate Guide to Making Money Online with ChatGPT unveils the secrets to unlocking the boundless possibilities of ChatGPT and harnessing its potential to generate a steady stream of income. This comprehensive guide will empower you to: Discover Lucrative Online Opportunities Enhance Your Productivity and Workflow Expand Your Service Offerings Build a Sustainable Online Business Stay Ahead of the Curve in the AI-Driven Economy. Whether you're an aspiring entrepreneur, a freelancer seeking new opportunities, or simply looking to expand your income streams, AI-Powered Profits: The Ultimate Guide to Making Money Online with ChatGPT is your indispensable companion. Unleash the limitless potential of ChatGPT and transform your path to financial success with AI-Powered Profits: The Ultimate Guide to Making Money Online with ChatGPT. Embrace the power of AI and become a pioneer in the digital economy. This comprehensive guide is your roadmap to unlocking a new era of online income and financial freedom. |
| chatgpt chat history gone: ChatGPT & Co. Rainer Hattenhauer, 2024-09-18 Would you like to know how you can benefit from generative artificial intelligence (AI)? Then this book will be of great help to you. It shows you how AI can make your life easier, and it will teach you what added value the current application scenarios of ChatGPT, Midjourney and various other AI tools offer and where their limits lie. Whether you want to write text, conduct research, generate images or create your own program code, you can get started right away without any previous knowledge. Bolstered with many practical examples from the most diverse areas of application, this book presents ChatGPT as part of an ever-growing toolkit, and guides you on which tools to utilize and apply. This is a valuable workbook for those looking to harness and incorporate ChatGPT and generative AI into their work, studies or general life. Key Features: • Demonstrates the profitable use of ChatGPT and other AI tools to make work easier at work and in everyday life • Provides practical examples to help with perfect prompts • Shows how to create impressive images with just a few words • Provides programmers with powerful tools to make the creation of professional software a child’s play • Dives deeper into the topic of text-generative AI for advanced users and provides valuable tips and tricks |
| chatgpt chat history gone: AI in Language Teaching, Learning, and Assessment Pan, Fang, 2024-02-12 The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue. AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education. |
| chatgpt chat history gone: ChatGPT Money-Maker's Handbook: Maximizing Earnings with AI M.B. Chatfield, Unlock the Limitless Potential of AI and Transform Your Career with ChatGPT Money-Maker's Handbook: Maximizing Earnings with AI In today's dynamic digital era, artificial intelligence has revolutionized the way we interact, communicate, and create. Amidst the forefront of AI advancements stands ChatGPT, a groundbreaking language model that empowers individuals to harness the power of AI to achieve financial success. ChatGPT Money-Maker's Handbook: Maximizing Earnings with AI serves as your comprehensive guide to unlocking the limitless potential of ChatGPT monetization. Embark on a transformative journey as you discover how to: Master the art of ChatGPT prompting to elicit high-quality; Identify lucrative ChatGPT monetization opportunities: Leveraging ChatGPT for freelance; Utilizing ChatGPT to develop chatbots for businesses, enhancing customer interactions and automating support; much more. Whether you're a seasoned professional or a novice entrepreneur, ChatGPT Money-Maker's Handbook: Maximizing Earnings with AI equips you with the knowledge, strategies, and tools to transform your career and achieve financial abundance. Embrace the power of AI and unlock a world of limitless possibilities with ChatGPT Money-Maker's Handbook: Maximizing Earnings with AI. |
| chatgpt chat history gone: Artificial Intelligence and Large Language Models Kutub Thakur, Helen G. Barker, Al-Sakib Khan Pathan, 2024-07-12 Having been catapulted into public discourse in the last few years, this book serves as an in-depth exploration of the ever-evolving domain of artificial intelligence (AI), large language models, and ChatGPT. It provides a meticulous and thorough analysis of AI, ChatGPT technology, and their prospective trajectories given the current trend, in addition to tracing the significant advancements that have materialized over time. Key Features: Discusses the fundamentals of AI for general readers Introduces readers to the ChatGPT chatbot and how it works Covers natural language processing (NLP), the foundational building block of ChatGPT Introduces readers to the deep learning transformer architecture Covers the fundamentals of ChatGPT training for practitioners Illustrated and organized in an accessible manner, this textbook contains particular appeal to students and course convenors at the undergraduate and graduate level, as well as a reference source for general readers. |
| chatgpt chat history gone: Learn Python Game Development with ChatGPT Micheal Lanham, 2024-06-07 Leverage the power of AI in coding, graphics, design, and intelligence to join the next wave in game development KEY FEATURES ● Teaches the core concepts of game development for 2D, 3D, and AI games. ● Uses AI to assist and guide the reader across several facets of game development. ● Learn to create AI-controlled enemies for your games. DESCRIPTION This book is a comprehensive guide to creating interactive and engaging games, leveraging the capabilities of ChatGPT and other advanced AI technologies. The book starts with prompt engineering and system prompting, building a strong AI foundation for game development. It covers various game genres, from text adventures to 3D shooters, showing AI integration. Each chapter is designed to build on the previous one, ensuring a cohesive learning experience that gradually increases in complexity and depth. Readers will learn game development basics and creative techniques for immersive game worlds. They will use PyZork for text games and Streamlit for enhanced visuals. The book covers AI-generated assets, behavior-driven AI, and advanced topics like isometric world-building and voice-responsive games. Practical projects help readers create their unique games, while GPT agents and AI technologies showcase the future of gaming. By the end of this journey, readers will have a deep understanding of how to create innovative and engaging games using AI, positioning them at the forefront of modern game development. WHAT YOU WILL LEARN ● Master prompt engineering for building games, game assets, and AI-driven games. ● Develop engaging text-based adventures with AI-driven storytelling elements. ● Create 2D games from platformers, isometric worlds, and physics. ● Design AI opponents with behavior-driven logic and adaptive difficulty. ● Introduction to 3D first-person shooters using GPT agents. ● Implement voice recognition and text-to-speech in interactive games. WHO THIS BOOK IS FOR This book is for aspiring or experienced game developers and indie game studios interested in using generative AI to create games faster and explore new possibilities. TABLE OF CONTENTS 1. ChatGPT and the Magic of Prompt Engineering 2. Text Adventure: Entering the Enchanted Realm 3. The AI Chronicles: Text Game Evolution 4. 2D Platformer: Leap into Pixelated Fun! 5. Bot Brawls: AI Opponents Enter the Arena 6. Revving up: Cars, Ramps, and Pymunk 7. Building Isometric Worlds 8. Leveling up with GPT Agents and AutoGen 9. Building a 3D First-Person Shooter 10. Games That Respond to Your Voice 11. The Future Beckons: Developing GPT Games |
| chatgpt chat history gone: The Role of ChatGPT in Personal Growth Bill Vincent, 2024-06-17 Unlock your potential with the help of artificial intelligence in Bill Vincent's transformative book, The Role of ChatGPT in Personal Growth: Building Better Habits. This insightful guide explores how ChatGPT, a groundbreaking conversational chatbot developed by OpenAI, can support and enhance your journey toward self-improvement. Discover the science behind memory systems and learn how to bridge the gap between your current self and the ideal person you strive to become. Through engaging explanations and practical advice, Vincent demonstrates how ChatGPT can assist you in cultivating new habits, staying motivated, and achieving your personal growth goals. Dive into this innovative approach to habit-building and let ChatGPT be your partner in creating a better, more fulfilled you. |
| chatgpt chat history gone: Generative AI in Teaching and Learning Hai-Jew, Shalin, 2023-12-05 Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes. |
| chatgpt chat history gone: Building AI Applications with ChatGPT APIs Martin Yanev, 2023-09-21 Enhance your application development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more in just one read! Key Features Become proficient in building AI applications with ChatGPT, DALL-E, and Whisper Understand how to select the optimal ChatGPT model and fine-tune it for your specific use case Monetize your applications by integrating the ChatGPT API with Stripe Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionCombining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT’s robust NLP capabilities handle the intricacies of human-like text understanding and generation. This book is a guide for beginners to master the ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects. These projects offer practical experience in integrating ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. Throughout this book, you’ll get to grips with performing NLP tasks, building a ChatGPT clone, and creating an AI-driven code bug fixing SaaS application. You’ll also cover speech recognition, text-to-speech functionalities, language translation, and generation of email replies and PowerPoint presentations. This book teaches you how to fine-tune ChatGPT and generate AI art using DALL-E APIs, and then offers insights into selling your apps by integrating ChatGPT API with Stripe. With practical examples available on GitHub, the book gradually progresses from easy to advanced topics, cultivating the expertise required to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.What you will learn Develop a solid foundation in using the ChatGPT API for natural language processing tasks Build, deploy, and capitalize on a variety of desktop and SaaS AI applications Seamlessly integrate ChatGPT with established frameworks such as Flask, Django, and Microsoft Office APIs Channel your creativity by integrating DALL-E APIs to produce stunning AI-generated art within your desktop applications Experience the power of Whisper API's speech recognition and text-to-speech features Discover techniques to optimize ChatGPT models through the process of fine-tuning Who this book is for With best practices, tips, and tricks for building applications using the ChatGPT API, this book is for programmers, entrepreneurs, and software enthusiasts. Python developers interested in AI applications involving ChatGPT, software developers who want to integrate AI technology, and web developers looking to create AI-powered web applications with ChatGPT will also find this book useful. A fundamental understanding of Python programming and experience of working with APIs will help you make the most of this book. |
| chatgpt chat history gone: Introduction to Generative AI Numa Dhamani, 2024-03-05 Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you’ll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What’s next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI |
| chatgpt chat history gone: THE EVOLUTION OF CHATGPT: FROM TEXT TO VOICE IN VIRTUAL WORDS Virendra Pal Singh, Durgesh Kumar, Pankaj Sharma, Dr. Javed Ahmad, Mr.Gaurav Kumar Rajput, 2023-12-12 ChatGPT is an artificial intelligence (AI)-based chatbot that makes use of natural language processing in order to provide conversational discourse that sounds and feels like it was done with a real person. This is accomplished by producing conversational discourse in many languages, including English, Japanese, and Korean. ChatGPT is a cloud-based application that may be accessed using the Azure cloud platform. It was created by Microsoft Research. The language model is able to provide responses to inquiries as well as generate a variety of written material, such as emails, posts on social networking sites, and posts on platforms that enable users to write in the format of an essay. On November 30, 2022, OpenAI developed ChatGPT, a big language model-based chatbot, and made it available to the public. Only the beta version of ChatGPT was first made accessible to users. Through the utilization of this feature, users are provided with the capacity to enhance and lead a discussion in the direction of a desired duration, structure, style, level of information, and language. This ability is made available to users. What we refer to as the Chat Generative Pre-trained Transformer is referred to as ChatGPT in its shorter version. In order to determine the context of the dialogue at each level of the discussion, a method known as prompt engineering is utilized. This method involves looking at the prompts and responses that came before it in the conversation. ChatGPT is built on either the GPT-3.5 or the GPT-4 model, both of which are a part of OpenAI's proprietary line of generative pre-trained transformer (GPT) models. Both models were used in the construction of ChatGPT. Conversational interactions are one of the primary focuses of ChatGPT's design. The Google-developed transformer architecture serves as the foundation for these models, which have been modified for use in conversational applications by employing a mix of supervised learning and reinforcement learning strategies. These methods were utilized in order to get a higher level of precision with the models. The research preview version of ChatGPT was made accessible to the general public for the very first time as a free service. |
| chatgpt chat history gone: ChatGPT for Java Bruce Hopkins, |
| chatgpt chat history gone: 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. |
| chatgpt chat history gone: Power Platform and the AI Revolution Aaron Guilmette, 2024-05-31 Unlock the untapped potential of ChatGPT, CoPilot, and Azure AI services by integrating them with the Microsoft Power Platform Key Features Gain insights into the latest AI technologies and their business applications Use generative AI to build apps, workflows, and chatbots Learn how to integrate AI services to automate work and deliver apps for specific business needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn this AI era, employing leading machine learning and AI models such as ChatGPT for responding to customer feedback and prototyping applications is crucial to drive business success in the competitive market. This book is an indispensable guide to integrating cutting-edge technology into business operations and leveraging AI to analyze sentiment at scale, helping free up valuable time to enhance customer relationships. Immerse yourself in the future of AI-enabled application development by working with Power Automate, Power Apps, and the new Copilot Studio. With this book, you’ll learn foundational AI concepts as you explore the extensive capabilities of the low-code Power Platform. You’ll see how Microsoft's advanced machine learning technologies can streamline common business tasks such as extracting key data elements from customer documents, reviewing customer emails, and validating passports and drivers’ licenses. The book also guides you in harnessing the power of generative AI to expedite tasks like creating executive summaries, building presentations, and analyzing resumes. You’ll build apps using natural language prompting and see how ChatGPT can be used to power chatbots in your organization. By the end of this book, you’ll have charted your path to developing your own reusable AI automation patterns to propel your business operations into the future.What you will learn Interact with ChatGPT using connectors and HTTP calls Train AI models to identify the key elements of documents Use generative AI to answer questions about organizational content Leverage AI image recognition services to describe pictures Use generative AI tools to help build workflows and apps Build chatbots using the new Copilot Studio Analyze customer feedback using AI sentiment analysis tools such as AI Builder Who this book is for If you’re interested in exploring the capabilities of modern AI technologies in the workplace, this book is for you. Specially tailored for IT professionals, developers, business leaders, human resources administrators, managers, and entrepreneurs–anyone aspiring to become a productivity rockstar will find this book helpful for extending their skill set through hands-on exercises. The content is beginner-friendly, assuming no knowledge of machine learning or artificial intelligence concepts, making it a perfect starting point for newcomers to the field. |
| chatgpt chat history gone: Applied Machine Learning and Data Analytics M. A. Jabbar, |
| chatgpt chat history gone: Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering Methodologies Tiziana Margaria, |
| chatgpt chat history gone: ICT Systems and Sustainability Milan Tuba, Shyam Akashe, Amit Joshi, 2023-12-02 This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on 3–4 August 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective. |
| chatgpt chat history gone: Explainable Artificial Intelligence Luca Longo, |
| chatgpt chat history gone: Using Educational Robots to Enhance Learning Dejian Liu, |
| chatgpt chat history gone: 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 |
| chatgpt chat history gone: Mastering Large Language Models with Python Raj Arun R, 2024-04-12 A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. DESCRIPTION “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. WHAT WILL YOU LEARN ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. ● Master prompt engineering techniques to fine-tune LLM outputs, enhancing quality and relevance for diverse use cases. ● Navigate the complex landscape of ethical AI development, prioritizing responsible practices to drive impactful technology adoption and advancement. WHO IS THIS BOOK FOR? This book is tailored for software engineers, data scientists, AI researchers, and technology leaders with a foundational understanding of machine learning concepts and programming. It's ideal for those looking to deepen their knowledge of Large Language Models and their practical applications in the field of AI. If you aim to explore LLMs extensively for implementing inventive solutions or spearheading AI-driven projects, this book is tailored to your needs. TABLE OF CONTENTS 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index |
| chatgpt chat history gone: Reuse and Software Quality Achilleas Achilleos, |
| chatgpt chat history gone: 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 |
| chatgpt chat history gone: Can Our Civilisation Survive the Changes Generated by New Technology? Analysing Society and Media Vesna Lukovic, Marja Novak Vogric, 2024-07-09 Human history is a history of powerful civilisations which collapsed for various reasons, but behind all of those reasons there was the inability of each civilisation to adapt to changes that were introduced by the human race itself or by the external environment. Judging from history we can expect that our civilisation might collapse as well. This book takes a look at the huge changes brought by new technology that was introduced by humans over the past few decades and might have the power to destroy the modern civilisation. It analyses social disadvantages of the new technology and attempts to answer the question of what has to be done to enable society to adapt to the new techology, embrace it and use it for the collective good. It also explains how to recognize fake news, why Orson Welles was a fake news visionary and why Monica Lewinsky was one of the first victims of the modern new technology. |
| chatgpt chat history gone: Neural Information Processing Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, 2023-11-26 The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. |
| chatgpt chat history gone: c't Working with AI c't-Redaktion, 2024-01-24 The special issue of c't KI-Praxis provides tests and practical instructions for working with chatbots. It explains why language models make mistakes and how they can be minimised. This not only helps when you send questions and orders to one of the chatbots offered online. If you do not want to or are not allowed to use the cloud services for data protection reasons, for example, you can also set up your own voice AI. The c't editorial team explains where to find a suitable voice model, how to host it locally and which service providers can host it. The fact that generative AI is becoming increasingly productive harbours both opportunities and risks. Suitable rules for the use of AI in schools, training and at work help to exploit opportunities and minimise risks. |
| chatgpt chat history gone: Multidisciplinary Approach to Information Technology in Library and Information Science Holland, Barbara, Sinha, Keshav, 2024-02-14 In the ever-evolving landscape of information technology within library and information science, scholars often find themselves navigating a complex web of diverse research areas. The broad spectrum of topics, ranging from digital libraries to artificial intelligence, poses a significant challenge for academic scholars seeking a comprehensive understanding of the field's intricacies. The absence of a consolidated resource tailored to the specific needs of graduate students, professors, and practitioners further exacerbates this issue. Multidisciplinary Approach to Information Technology in Library and Information Science addresses the pressing challenges faced by scholars in the realm of library and information science. This reference handbook serves as a beacon, illuminating the multifaceted interactions and impacts of technologies on information resources. This book delves into the ethical, legal, and social implications of information technology across diverse contexts – libraries, information centers, archives, museums, education, business, government, and healthcare. |
| chatgpt chat history gone: Archival Science in Interdisciplinary Theory and Practice Corinne Rogers, Alexandra Wieland, 2024-08-20 Archival Science in Interdisciplinary Theory and Practice brings together scholars, practicing archivists, and records managers to discuss key issues in the conceptual and theoretical frameworks of the profession. The contributors examine the state of archival studies as a discipline and practice, placing it within an international, interdisciplinary, forward-looking context. Topics include: the identity of archival science as a discipline, the authenticity and trustworthiness of archives in various forms, archival practice around the world, and new directions for archives in the 21st century. Many of these topics were originally articulated or strongly influenced by Luciana Duranti’s international and interdisciplinary InterPARES projects (1998-2026). The book’s themes (theoretical concepts about trustworthiness of records, interdisciplinary research, archival education, and the archival profession) are particularly relevant in today’s environment when governments and institutions are questioning the trustworthiness of records and attempting to combat disinformation. The book will fill a unique niche by presenting scholarship, practice, and pedagogy influenced by Duranti. |
| chatgpt chat history gone: Transformative AI Ahmed Banafa, 2024-04-26 Transformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment. The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years. |
| chatgpt chat history gone: Building Data-Driven Applications with LlamaIndex Andrei Gheorghiu, 2024-05-10 Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key Features Examine text chunking effects on RAG workflows and understand security in RAG app development Discover chatbots and agents and learn how to build complex conversation engines Build as you learn by applying the knowledge you gain to a hands-on project Book DescriptionDiscover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.What you will learn Understand the LlamaIndex ecosystem and common use cases Master techniques to ingest and parse data from various sources into LlamaIndex Discover how to create optimized indexes tailored to your use cases Understand how to query LlamaIndex effectively and interpret responses Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit Customize a LlamaIndex configuration based on your project needs Predict costs and deal with potential privacy issues Deploy LlamaIndex applications that others can use Who this book is for This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework. |
| chatgpt chat history gone: Digital Sovereignty! Sylvie Bedard, 2023-08-09 Have you noticed that artificial intelligence is the hot topic of the moment? Yet, for over a decade, this reality has radically changed our lives, well hidden in our new virtually digital reality. After sharing her vision of Presence with a 1st book in the context of business and marketing to improve customer and employee relations in the digital reality, this 2nd book expresses the same desire to preserve the relational quality between us. A decade on, we need to have an urgent conversation about the very essence of humanity in a world dominated by technology. Her vision of digital sovereignty presents itself as an accessible solution that must guide the evolution of the artificial intelligence race and combat unbridled digital capitalism by bringing the digital imperialists to heel. It's not a plea for or against artificial intelligence. It's a plea in favor of the urgent need to take a collective stand in order to build a future in human dignity with these intelligent machines that are invading us under the pretext of natural evolution. To act, we need to understand. Without pretension, but with lucidity, you are invited to discover the path and legacy of digital colonialism, and even the domination of digital emperors, in order to grasp the full extent of its impact on our reality, which is anything but virtual. Popularized, accessible explanations of the issues at stake, so as to fully grasp this universe. A critical and constructive look at how we can hold the reins of this unbridled wild horse that is artificial intelligence. Whether you're a private citizen, a worker, a company director, a civil servant, a member of parliament, etc., everyone is concerned, without exception. Yes, even you, especially those who don't feel concerned. This is a call for collective mobilization. |
| chatgpt chat history gone: AI Revolution Tero Ojanperä, 2024-11-14 The AI Revolution is a practical guide to using new AI tools, such as ChatGPT, DALLE and Midjourney. Learn how to multiply your productivity by guiding or prompting AI in various ways. The book also introduces Microsoft Copilot, Google Bard, and Adobe Photoshop Generative Fill, among other new applications. ChatGPT reached a hundred million users in just two months after its release, faster than any other application before. This marked the advent of the generative AI era. Generative AI models generate text, images, music, videos, and even 3D models in ways previously thought impossible for machines. The book explains in an understandable manner how these AI models work. The book provides examples of how AI increases productivity, which professions are changing or disappearing, and how job markets will evolve in the coming years. With this book, you'll learn to recognize the opportunities and risks AI offers. Understand what this change demands from individuals and companies and what strategic skills are required. The book also covers legal questions caused by generative AI, like copyrights, data protection, and AI regulation. It also ponders societal impacts. AI produces content, thus influencing language, culture, and even worldviews. Therefore, it's crucial to understand by whom and how AI is trained. The AI revolution started by ChatGPT is just the beginning. This handbook is for you if you want to keep up with the rapid development of AI. |
| chatgpt chat history gone: Building AI Applications with OpenAI APIs Martin Yanev, 2024-10-04 Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more Key Features Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations Gain hands-on experience through real-world projects covering a wide range of AI applications Implement payment systems in your applications by integrating the ChatGPT API with Stripe Purchase of the print or Kindle book includes a free PDF eBook Book Description Unlock the power of AI in your applications with ChatGPT with this practical guide that shows you how to seamlessly integrate OpenAI APIs into your projects, enabling you to navigate complex APIs and ensure seamless functionality with ease. This new edition is updated with key topics such as OpenAI Embeddings, which’ll help you understand the semantic relationships between words and phrases. You’ll find out how to use ChatGPT, Whisper, and DALL-E APIs through 10 AI projects using the latest OpenAI models, GPT-3.5, and GPT-4, with Visual Studio Code as the IDE. Within these projects, you’ll integrate ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. You’ll get to grips with NLP tasks, build a ChatGPT clone, and create an AI code bug-fixing SaaS app. The chapters will also take you through speech recognition, text-to-speech capabilities, language translation, generating email replies, creating PowerPoint presentations, and fine-tuning ChatGPT, along with adding payment methods by integrating the ChatGPT API with Stripe. By the end of this book, you’ll be able to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs. What you will learn Develop a solid foundation in using the OpenAI API for NLP tasks Build, deploy, and integrate payments into various desktop and SaaS AI applications Integrate ChatGPT with frameworks such as Flask, Django, and Microsoft Office APIs Unleash your creativity by integrating DALL-E APIs to generate stunning AI art within your desktop apps Experience the power of Whisper API's speech recognition and text-to-speech features Find out how to fine-tune ChatGPT models for your specific use case Master AI embeddings to measure the relatedness of text strings Who this book is for This book is for a diverse range of professionals, including programmers, entrepreneurs, and software enthusiasts. Beginner programmers, Python developers exploring AI applications with ChatGPT, software developers integrating AI technology, and web developers creating AI-powered web applications with ChatGPT will find this book beneficial. Scholars and researchers working on AI projects with ChatGPT will also find it valuable. Basic knowledge of Python and familiarity with APIs is needed to understand the topics covered in this book. |
| chatgpt chat history gone: Adversarial AI Attacks, Mitigations, and Defense Strategies John Sotiropoulos, 2024-07-26 Understand how adversarial attacks work against predictive and generative AI, and learn how to safeguard AI and LLM projects with practical examples leveraging OWASP, MITRE, and NIST Key Features Understand the connection between AI and security by learning about adversarial AI attacks Discover the latest security challenges in adversarial AI by examining GenAI, deepfakes, and LLMs Implement secure-by-design methods and threat modeling, using standards and MLSecOps to safeguard AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAdversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips cybersecurity professionals with the skills to secure AI technologies, moving beyond research hype or business-as-usual strategies. The strategy-based book is a comprehensive guide to AI security, presenting a structured approach with practical examples to identify and counter adversarial attacks. This book goes beyond a random selection of threats and consolidates recent research and industry standards, incorporating taxonomies from MITRE, NIST, and OWASP. Next, a dedicated section introduces a secure-by-design AI strategy with threat modeling to demonstrate risk-based defenses and strategies, focusing on integrating MLSecOps and LLMOps into security systems. To gain deeper insights, you’ll cover examples of incorporating CI, MLOps, and security controls, including open-access LLMs and ML SBOMs. Based on the classic NIST pillars, the book provides a blueprint for maturing enterprise AI security, discussing the role of AI security in safety and ethics as part of Trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI systems effectively.What you will learn Understand poisoning, evasion, and privacy attacks and how to mitigate them Discover how GANs can be used for attacks and deepfakes Explore how LLMs change security, prompt injections, and data exposure Master techniques to poison LLMs with RAG, embeddings, and fine-tuning Explore supply-chain threats and the challenges of open-access LLMs Implement MLSecOps with CIs, MLOps, and SBOMs Who this book is for This book tackles AI security from both angles - offense and defense. AI builders (developers and engineers) will learn how to create secure systems, while cybersecurity professionals, such as security architects, analysts, engineers, ethical hackers, penetration testers, and incident responders will discover methods to combat threats and mitigate risks posed by attackers. The book also provides a secure-by-design approach for leaders to build AI with security in mind. To get the most out of this book, you’ll need a basic understanding of security, ML concepts, and Python. |
| chatgpt chat history gone: Artificial Intelligence in HCI Helmut Degen, |
| chatgpt chat history gone: Django 5 By Example Antonio Melé, 2024-04-30 Build four real-world Django apps and learn Django by doing. Create fully functional web applications with authentication, content management systems, payment processing, REST APIs, and more! Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Updated with Django 5 features, detailed app planning, improved tooling, and GPT prompts for extending projects Learn Django essentials, including models, ORM, views, templates, URLs, forms, authentication, signals, and middleware Integrate JavaScript, PostgreSQL, Redis, Celery, Docker, and Memcached into your applications Book DescriptionIf you want to learn Django by doing, this book is for you. Django 5 By Example is the fifth edition of the best-selling franchise that helps you build real-world web apps. This book will walk you through planning and creation, solving common problems, and implementing best practices using a step-by-step approach. You’ll cover a wide range of web application development topics through four different projects: a blog application, a social website, an e-commerce application, and an e-learning platform. Pick up what’s new in Django 5 as you build end-to-end Python web apps, follow detailed project plans, and understand the hows and whys of Django. This is a practical and approachable book that will have you creating web apps quickly.What you will learn Use different modules of the Django framework to solve specific problems Integrate third-party Django applications into your project Build complex web applications using Redis, Postgres, Celery/RabbitMQ, and Memcached Set up a production environment for your projects with Docker Compose Build a RESTful API with Django Rest Framework (DRF) Implement advanced functionalities, such as full-text search engines, user activity streams, payment gateways, and recommendation engines Build real-time asynchronous (ASGI) apps with Django Channels and WebSockets Who this book is for This book is for readers with basic Python programming knowledge and programmers transitioning from other web frameworks who wish to learn Django by doing. If you already use Django, or have in the past, and want to learn best practices and integrate other technologies to scale your applications, then this book is for you too. This book will help you master the most relevant areas of the framework by building practical projects from scratch. Some previous knowledge of HTML and JavaScript is assumed. |
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ChatGPT’s Role in the Education System: Insights from the …
educators generally perceive ChatGPT as a beneficial tool for students. As future teachers, they identify certain advantages in using tools like ChatGPT to enhance teaching performance. …
Using ChatGPT to write patient clinic letters - The Lancet
humanness of ChatGPT-generated clinical letters to patients, using the example of skin cancer as the most common human cancer. We created a series of different clinical communication . …
A STUDY ON CHAT GPT AND ITS IMPACT ON THE HIGHER …
A STUDY ON CHAT GPT AND ITS IMPACT ON THE HIGHER EDUCATION SYSTEM IN MUMBAI AADITYA KHARE Department of Banking and Insurance ... and Finance …
Chapter 7 ChatGPT in Finance and Banking - Springer
In our discussions, the term ChatGPT encompasses both its chat capabilities and the underlying model, which could be GPT, PaLM, LLaMA, or any other chosen foundation model. 7.1.1 …
Guide for ChatGPT usage - University of Pretoria
ChatGPT escalated the conversation on the impact of Artificial Intelligence in Higher Education ... Use Chat GPT as a supplement to other credible sources of information and not as ... I am a …
ChatGPT: Leveraging AI to Support Personalized Teaching …
ChatGPT. ChatGPT, a chatbot powered by artificial . intelligence (AI), is generating a pointed debate in . education and beyond. ChatGPT is an online tool . that creates human-like written …
You Only Need to Change Your Direction: A Look at the …
Therefore, the paper first discusses the history of AI in education to provide context and highlight how ChatGPT fits into this larger conversation. Afterwards, the paper then explores how …
ChatGPT and World History Essays: An Assignment and its …
Teaching History, 49(1). DOI: 10.33043/67bdga4z9 Distributed with CC BY-NC-ND 4.0 License. ChatGPT and World History Essays: An Assignment and its Insights into the Coloniality of …
The impact and applications of ChatGPT: a Systematic Review …
Apr 30, 2023 · ChatGPT has generated mixed responses, reflecting the history of controversy regarding the benefits vs. risks of AI. Less than 6 months since its launch, over two ... 2022 …
Welcome to the 50 ChatGPT Prompts for Writing! - Skillshare
In this repository, you will find a variety of prompts that can be used with ChatGPT as writer. I encourage you to generate your own prompts as well. Generating ideas and outlines ChatGPT …
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for …
your medical history, your symptoms, your goals, your concerns, and together you can come up with a management plan that is right for you. Human: How did you learn so much about …
Yes but.. Can ChatGPT Identify Entities in Historical Documents?
Figure 1: Asking ChatGPT to identify named entities in a historical document. ABSTRACT Large language models (LLMs) have been leveraged for several years now, obtaining state-of-the-art …
Correctness Comparison of ChatGPT-4, Gemini, Claude-3, …
The emergence of LLM-based chatbot alternatives to ChatGPT resulted in chatbot performance comparison studies. For example, the evaluation of 15 questions from different disciplines …
