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| chat gpt prompt engineering course: ChatGPT Prompt Engineering Mastery Playbook Dwayne Anderson, 2023-04-19 ChatGPT Prompt Engineering Mastery Playbook: Getting Started is a 15-page free ebook guide that provides an introduction to the basics of ChatGPT prompt engineering. It covers the different types of prompts, such as single-sentence, multi-sentence, and dialogue prompts, as well as prompt customization options like length, temperature, and top-p. The ebook also offers tips on how to generate high-quality and relevant responses from ChatGPT, including being specific and providing complete context, using neutral language, evaluating responses critically, and fine-tuning the model. The guide also provides practical tips on how to customize prompts, including adjusting the length, temperature, and top-p settings, to generate high-quality and relevant responses. Additionally, the book offers insights into how to evaluate responses critically and fine-tune the model for optimal results. With this guidebook, users can learn how to use ChatGPT on a resonable approach , creating unique and engaging content quickly and easily. Whether you are an experienced marketer or a beginner, this book offers something for everyone, with step-by-step instructions and real-world examples. If you're looking to unlock the full potential of ChatGPT, the ChatGPT Prompt Engineering Mastery Playbook |
| chat gpt prompt engineering course: 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 course: 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 course: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| chat gpt prompt engineering course: Creative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education David Guralnick, |
| chat gpt prompt engineering course: 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 course: Data-Driven Business Intelligence Systems for Socio-Technical Organizations Keikhosrokiani, Pantea, 2024-04-09 The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers. |
| chat gpt prompt engineering course: 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 course: Hands-On Prompt Engineering Apurv Sibal, Paramdeep Singh, Rohit Khandekar, 2024-02-28 A comprehensive introduction to the fundamentals of prompt engineering with ChatGPT Hands-On Prompt Engineering is a practical and essential resource for any professional looking to implement AI in their business. This book teaches you the basics of prompt engineering, which lets you program ChatGPT to perform tasks. It focuses on business applications of AI and walks you through the process of implementing techniques and algorithms using available software tools. You’ll also learn the approaches and best practices that have led to success for leaders in this area. Prompt engineering differs from the process of coding traditional queries in a few key ways. With prompt engineering, task descriptions are formulated as questions, so the description of the task is embedded in the input given to the AI. Additionally, some language models can be trained to complete tasks using information contained in the prompts (prompt-based learning). Hands-On Prompt Engineering teaches you to work with these and pretrained models using Python code. Learn what types of AI language model tasks can be productively automated through prompt engineering Use Python to program OpenAI’s ChatGPT3 and add business value Discover the best practices and proven techniques in the emerging field of prompt engineering Get hands-on guidance for optimizing the output you receive from ChatGPT and other AI models Hands-On Prompt Engineering is an essential resource for software engineers, MLOps engineers, data scientists, and other business professionals interested in utilizing AI and natural language processing with prompt engineering. |
| chat gpt prompt engineering course: The Role of Generative AI in the Communication Classroom Elmoudden, Sanae, Wrench, Jason S., 2024-02-12 In an era marked by the rapid integration of Artificial Intelligence (AI) into our lives, the discourse surrounding its implications has intensified. The Role of Generative AI in the Communication Classroom is a pioneering book that delves into the multifaceted dimensions of AI, specifically focusing on OpenAI's revolutionary Chat Generative Pre-Trained Transformer (Chat GPT) and its profound influence on the landscape of communication education. This book navigates the intersection of technology, education, and ethics, shedding light on the imperative need for a collaborative approach to shape AI's evolution. AI's potential to reshape industries and human roles is undeniable. Rooted in the intricate workings of AI and its hallmark, Chat GPT, this book meticulously dissects the dynamic relationship between humans and machines. The discourse extends beyond technology and into the realm of education, asserting that the power to mold AI's trajectory cannot rest solely in the hands of developers. While revealing AI's transformative potential in the communication classroom, the book conscientiously explores ethical concerns and biases, fostering a balanced approach to its integration. This book is instrumental to the ongoing discourse on AI's role in education. The call for ethical considerations, inclusivity, and regulation serves as a guiding compass for educators, students, developers, and policymakers alike. The book ensures a holistic perspective on AI's integration by addressing privacy, citation, voice ownership, and overall digital ethics. |
| chat gpt prompt engineering course: CSS3 and SVG with GPT-4 Oswald CAMPESATO, 2024-07-14 This book is designed to equip you with the knowledge and skills necessary to navigate the intersection of web development and artificial intelligence (AI). It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like GPT-4 to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource. |
| chat gpt prompt engineering course: Future Rising Andrew Maynard, 2020-10-27 A scientist offers compelling visions and potential pitfalls of the future—in “a journey through time, space, and the human experience” (Dr. Tanya Harrison, coauthor of For All Humankind). Humanity has gained the ability not only to imagine the future, but to design and engineer it. At times entertaining, and at others profound, Future Rising provides an original perspective on our relationship with the future. As a species, we’ve become talented architects of our future—yet we often struggle to come to terms with what this means. As innovation and rapidly shifting norms and expectations drive our world at breakneck speed, we sometimes need to find a still, quiet place to pause and think. Future Rising creates such a place, where we can take advantage of our species’ knowledge of world history and the importance of science to piece together a positive future. To create a good future, we must rediscover the past. Our relationship with the future is inextricably intertwined with where we’ve come from, who we are, and what we aspire to. Future Rising starts at the beginning of all things with the Big Bang and traces a pathway along the emergence of intelligent life, through what makes humans uniquely capable of imagining and creating different futures. In a series of sixty short reflections, Andrew Maynard, a former physicist and nationally recognized expert in technology and society, will take you on a journey into: What “the future” actually is How it molds and guides our lives How we can use the history of the world to change our future “A thoughtful and thought-provoking response to the moment we’re in, chronicling how we got here, where we’re going, and what role we have in that journey.” —Ramona Pringle, Director of Creative Innovation Studio and Associate Professor, Ryerson University |
| chat gpt prompt engineering course: 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 course: Co-Intelligence Ethan Mollick, 2024-04-02 From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI Something new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it's imperative that we master that skill. Mollick challenges us to utilize AI's enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of this new era. |
| chat gpt prompt engineering course: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
| chat gpt prompt engineering course: Artificial Intelligence in Education Andrew M. Olney, |
| chat gpt prompt engineering course: Technology Enhanced Learning for Inclusive and Equitable Quality Education Rafael Ferreira Mello, |
| chat gpt prompt engineering course: 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 course: Mathematics for Machine Learning Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, 2020-04-23 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. |
| chat gpt prompt engineering course: Docker: Up and Running Dr. Gabriel Nicolas Schenker, 2023-04-20 A hands-on guide that will help you compose, package, deploy, and manage applications with ease KEY FEATURES ● Get familiar and work with key components of Docker. ● Learn how to automate CI/CD pipeline using Docker and Jenkins. ● Uncover the top Docker interview questions to crack your next interview. DESCRIPTION Containers are one of the disruptive technologies in IT that have fundamentally changed how software is build, shipped, and run today. If you want to pursue a career as a Software engineer or a DevOps professional, then this book is for you. The book starts by introducing Docker and teaches you how to write and run commands in Docker. The book then explains how to create Docker files, images, and containers, and while doing so, you get a stronghold of Docker tools like Docker Images, Dockerfiles, and Docker Compose. The book will also help you learn how to work with existing container images and how to build, test, and ship your containers containing your applications. Furthermore, the book will help you to deploy and run your containerized applications on Kubernetes and in the cloud. By the end of the book, you will be able to build and deploy enterprise applications with ease. WHAT YOU WILL LEARN ● Learn how to test and debug containerized applications. ● Understand how container orchestration works in Kubernetes. ● Monitor your Docker container's log using Prometheus and Grafana. ● Deploy, update, and scale applications into a Kubernetes cluster using different strategies. ● Learn how to use Snyk to scan vulnerabilities in Docker. WHO THIS BOOK IS FOR This book is for System administrators, Software engineers, DevOps aspirants, Application engineers, and Application developers. TABLE OF CONTENTS 1. Explaining Containers and their Benefits 2. Setting Up Your Environment 3. Getting Familiar with Containers 4. Using Existing Docker Images 5. Creating Your Own Docker Image 6. Demystifying Container Networking 7. Managing Complex Apps with Docker Compose 8. Testing and Debugging Containerized Applications 9. Establishing an Automated Build Pipeline 10. Orchestrating Containers 11. Leveraging Docker Logs to Provide Insight into Your Apps 12. Enabling Zero Downtime Deployments 13. Securing Containers |
| chat gpt prompt engineering course: Convex Optimization Stephen P. Boyd, Lieven Vandenberghe, 2004-03-08 Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics. |
| chat gpt prompt engineering course: Programming Large Language Models with Azure Open AI Francesco Esposito, 2024-04-03 Use LLMs to build better business software applications Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. Artificial Intelligence expert Francesco Esposito helps you: Understand the history of large language models and conversational programming Apply prompting as a new way of coding Learn core prompting techniques and fundamental use-cases Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines Use natural language in code to define workflows and orchestrate existing APIs Master external LLM frameworks Evaluate responsible AI security, privacy, and accuracy concerns Explore the AI regulatory landscape Build and implement a personal assistant Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base Construct a conversational user interface For IT Professionals and Consultants For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts For anyone else interested in natural language processing or real-world applications of human-like language in software |
| chat gpt prompt engineering course: Getting Started with Natural Language Processing Ekaterina Kochmar, 2022-11-15 Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you’ll learn about: Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. About the technology From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! About the book Getting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you’ll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you’ve previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning! What's inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm About the reader You’ll need basic Python skills. No experience with NLP required. About the author Ekaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group. Table of Contents 1 Introduction 2 Your first NLP example 3 Introduction to information search 4 Information extraction 5 Author profiling as a machine-learning task 6 Linguistic feature engineering for author profiling 7 Your first sentiment analyzer using sentiment lexicons 8 Sentiment analysis with a data-driven approach 9 Topic analysis 10 Topic modeling 11 Named-entity recognition |
| chat gpt prompt engineering course: Advanced Deep Learning with Keras Rowel Atienza, 2018-10-31 Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existence Key Features Explore the most advanced deep learning techniques that drive modern AI results Implement deep neural networks, autoencoders, GANs, VAEs, and deep reinforcement learning A wide study of GANs, including Improved GANs, Cross-Domain GANs, and Disentangled Representation GANs Book DescriptionRecent developments in deep learning, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Deep Reinforcement Learning (DRL) are creating impressive AI results in our news headlines - such as AlphaGo Zero beating world chess champions, and generative AI that can create art paintings that sell for over $400k because they are so human-like. Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep learning techniques available today, so you can create your own cutting-edge AI. Using Keras as an open-source deep learning library, you'll find hands-on projects throughout that show you how to create more effective AI with the latest techniques. The journey begins with an overview of MLPs, CNNs, and RNNs, which are the building blocks for the more advanced techniques in the book. You’ll learn how to implement deep learning models with Keras and TensorFlow 1.x, and move forwards to advanced techniques, as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You then learn all about GANs, and how they can open new levels of AI performance. Next, you’ll get up to speed with how VAEs are implemented, and you’ll see how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans - a major stride forward for modern AI. To complete this set of advanced techniques, you'll learn how to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.What you will learn Cutting-edge techniques in human-like AI performance Implement advanced deep learning models using Keras The building blocks for advanced techniques - MLPs, CNNs, and RNNs Deep neural networks – ResNet and DenseNet Autoencoders and Variational Autoencoders (VAEs) Generative Adversarial Networks (GANs) and creative AI techniques Disentangled Representation GANs, and Cross-Domain GANs Deep reinforcement learning methods and implementation Produce industry-standard applications using OpenAI Gym Deep Q-Learning and Policy Gradient Methods Who this book is for Some fluency with Python is assumed. As an advanced book, you'll be familiar with some machine learning approaches, and some practical experience with DL will be helpful. Knowledge of Keras or TensorFlow 1.x is not required but would be helpful. |
| chat gpt prompt engineering course: I Love My Job But It's Killing Me Lesley Moffat, 2020-01-07 I Love My Job But It’s Killing Me is the step-by-step guide teachers need to get back to the career they love without compromising their health any longer. I Love My Job But It’s Killing Me is a no-nonsense and practical guide to help get teachers started today on the path to improved health and more energy, so they can get back their career – and their life. Within I Love My Job But It’s Killing Me, teachers learn techniques that will: Improve their ability to fall and stay asleep Reduce brain fog and exhaustion brought on by stress Eliminate or greatly minimize aches and pains that interfere with daily work Help them reclaim the energy needed to support their work and family life Gives concrete steps to take when it feels like it’s all falling apart |
| chat gpt prompt engineering course: Team Topologies Matthew Skelton, Manuel Pais, 2019-09-17 Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization. |
| chat gpt prompt engineering course: Advances in Computing Marta Tabares, Paola Vallejo, Biviana Suarez, Marco Suarez, Oscar Ruiz, Jose Aguilar, 2023-12-15 This book constitutes revised selected papers from the refereed proceedings of the 17th Colombian Conference on Computing on Advances in Computing, CCC 2023, held in Medellin, Colombia, during August 10–11, 2023. The 22 full papers and 11 short papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: Industrial Applications - Industry 4.0 - Precision Agriculture, Artificial Intelligence, Distributed systems and large-scale computing, Computational Statistics, Digital Learning - E-learning, Software Engineering, Human Machine Interaction, Image processing and Computer Vision, Robotics in Industry 4.0 and Scientific Applications. |
| chat gpt prompt engineering course: The Smart IoT Blueprint: Engineering a Connected Future Fadi Al-Turjman, |
| chat gpt prompt engineering course: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| chat gpt prompt engineering course: The Unicorn's Shadow Ethan Mollick, 2020-06-23 Bringing hard data to the way we think about entrepreneurial success, this bold call to action draws on the latest scientific evidence to dispel the most pervasive startup myths and light a path to entrepreneurship for those eclipsed by the hype. When you think of a successful entrepreneur, who comes to mind? Bill Gates? Mark Zuckerberg? Or maybe even Jesse Eisenberg, the man who played Zuckerberg in The Social Network? It may surprise you that most successful founders look very different from Zuckerberg or Gates. In fact, most startup origin stories are very different from the famous unicorns that have achieved valuations of over $1 billion, from Facebook to Google to Uber. In The Unicorn's Shadow: Combating the Dangerous Myths that Hold Back Startups, Founders, and Investors, Wharton School professor Ethan Mollick takes us to the forefront of an empirical revolution in entrepreneurship. New data and better research methods have overturned the conventional wisdom behind what a successful founder looks like, how they succeed, and how the startup ecosystem works. Among the issues he examines: Which founders are most likely to succeed?Where do the best startup ideas come from?What's the most foolproof way of securing the funding needed to take a company to the next level?Should your sales pitch really be something out of Hollywood?What's the best way to grow and scale your company and create a thriving culture that won't hinder expansion? Mollick argues that entrepreneurship is too important, both for society and for the individuals who start companies, to be eclipsed by the shadows of unicorns. He shows we can democratize entrepreneurship—but only by following an evidence-based approach that puts to rest the false narratives that surround it. |
| chat gpt prompt engineering course: Biocomputing Panos M. Pardalos, J.C. Principe, 2013-12-01 In the quest to understand and model the healthy or sick human body, re searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. A conference on Biocomputing was held during February 25-27, 2001 at the University of Florida. The conference was sponsored by the Center for Applied Optimization, the Computational Neuroengineering Center, the Biomedical En gineering Program (through a Whitaker Foundation grant), the Brain Institute, the School of Engineering, and the University of Florida Research & Graduate Programs. The conference provided a forum for researchers to discuss and present new directions in Biocomputing. The well-attended three days event was highlighted by the presence of top researchers in the field who presented their work in Biocomputing. This volume contains a selective collection of ref ereed papers based on talks presented at this conference. You will find seminal contributions in genomics, global optimization, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. We would like to take the opportunity to thank the sponsors, the authors of the papers, the anonymous referees, and Kluwer Academic Publishers for making the conference successful and the publication of this volume possible. Panos M. Pardalos and Jose C. |
| chat gpt prompt engineering course: Relevant Search John Berryman, Doug Turnbull, 2016-06-19 Summary Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Users are accustomed to and expect instant, relevant search results. To achieve this, you must master the search engine. Yet for many developers, relevance ranking is mysterious or confusing. About the Book Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You'll learn how to apply Elasticsearch or Solr to your business's unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating with stakeholders to discover the right relevance requirements for your business. By the end, you'll be able to achieve a virtuous cycle of provable, measurable relevance improvements over a search product's lifetime. What's Inside Techniques for debugging relevance? Applying search engine features to real problems? Using the user interface to guide searchers? A systematic approach to relevance? A business culture focused on improving search About the Reader For developers trying to build smarter search with Elasticsearch or Solr. About the Authors Doug Turnbull is lead relevance consultant at OpenSource Connections, where he frequently speaks and blogs. John Berryman is a data engineer at Eventbrite, where he specializes in recommendations and search. Foreword author, Trey Grainger, is a director of engineering at CareerBuilder and author of Solr in Action. Table of Contents The search relevance problem Search under the hood Debugging your first relevance problem Taming tokens Basic multifield search Term-centric search Shaping the relevance function Providing relevance feedback Designing a relevance-focused search application The relevance-centered enterprise Semantic and personalized search |
| chat gpt prompt engineering course: Speech & Language Processing Dan Jurafsky, 2000-09 |
| chat gpt prompt engineering course: The Self-Taught Programmer Cory Althoff, 2022-01-13 |
| chat gpt prompt engineering course: Teach Your Kids to Code Bryson Payne, 2015-04-01 Teach Your Kids to Code is a parent's and teacher's guide to teaching kids basic programming and problem solving using Python, the powerful language used in college courses and by tech companies like Google and IBM. Step-by-step explanations will have kids learning computational thinking right away, while visual and game-oriented examples hold their attention. Friendly introductions to fundamental programming concepts such as variables, loops, and functions will help even the youngest programmers build the skills they need to make their own cool games and applications. Whether you've been coding for years or have never programmed anything at all, Teach Your Kids to Code will help you show your young programmer how to: –Explore geometry by drawing colorful shapes with Turtle graphics –Write programs to encode and decode messages, play Rock-Paper-Scissors, and calculate how tall someone is in Ping-Pong balls –Create fun, playable games like War, Yahtzee, and Pong –Add interactivity, animation, and sound to their apps Teach Your Kids to Code is the perfect companion to any introductory programming class or after-school meet-up, or simply your educational efforts at home. Spend some fun, productive afternoons at the computer with your kids—you can all learn something! |
| chat gpt prompt engineering course: 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 course: Learning Deep Learning Magnus Ekman, 2021-07-19 NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals. -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us. -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| chat gpt prompt engineering course: Learn to Program Chris Pine, 2021-06-17 It's easier to learn how to program a computer than it has ever been before. Now everyone can learn to write programs for themselves - no previous experience is necessary. Chris Pine takes a thorough, but lighthearted approach that teaches you the fundamentals of computer programming, with a minimum of fuss or bother. Whether you are interested in a new hobby or a new career, this book is your doorway into the world of programming. Computers are everywhere, and being able to program them is more important than it has ever been. But since most books on programming are written for other programmers, it can be hard to break in. At least it used to be. Chris Pine will teach you how to program. You'll learn to use your computer better, to get it to do what you want it to do. Starting with small, simple one-line programs to calculate your age in seconds, you'll see how to write interactive programs, to use APIs to fetch live data from the internet, to rename your photos from your digital camera, and more. You'll learn the same technology used to drive modern dynamic websites and large, professional applications. Whether you are looking for a fun new hobby or are interested in entering the tech world as a professional, this book gives you a solid foundation in programming. Chris teaches the basics, but also shows you how to think like a programmer. You'll learn through tons of examples, and through programming challenges throughout the book. When you finish, you'll know how and where to learn more - you'll be on your way. What You Need: All you need to learn how to program is a computer (Windows, macOS, or Linux) and an internet connection. Chris Pine will lead you through setting set up with the software you will need to start writing programs of your own. |
| chat gpt prompt engineering course: Timeless Learning Ira Socol, Pam Moran, Chad Ratliff, 2018-08-07 Reinvent public schools with proven, innovative practices Our homes, communities, and the world itself need the natural assets our children bring with them as learners, and which they often lose over time on the assembly line that pervades most of the public education system today. We see no actions as more important in school than developing, supporting, and reinforcing children's sense of agency, the value of their voices, and their potential to influence their own communities. In Timeless Learning, an award-winning team of leaders, Chief Technology Officer Ira Socol, Superintendent Pam Moran, and Lab Schools Principal Chad Ratliff demonstrate how you can implement innovative practices that have shown remarkable success. The authors use progressive design principles to inform pathways to disrupt traditions of education today and show you how to make innovations real that will have a timeless and meaningful impact on students, keeping alive the natural curiosity and passion for learning with which children enter school. Discover the power of project-based and student-designed learning Find out what “maker learning” entails Launch connected and interactive digital learning Benefit from the authors’ “opening up learning” space and time Using examples from their own successful district as well as others around the country, the authors create a deep map of the processes necessary to move from schools in which content-driven, adult-determined teaching has been the traditional norm to new learning spaces and communities in which context-driven, child-determined learning is the progressive norm. |
| chat gpt prompt engineering course: What We Know About Grading Thomas R. Guskey, Susan M. Brookhart, 2019-02-04 Grading is one of the most hotly debated topics in education, and grading practices themselves are largely based on tradition, instinct, or personal history or philosophy. But to be effective, grading policies and practices must be based on trustworthy research evidence. Enter this book: a review of 100-plus years of grading research that presents the broadest and most comprehensive summary of research on grading and reporting available to date, with clear takeaways for learning and teaching. Edited by Thomas R. Guskey and Susan M. Brookhart, this indispensable guide features thoughtful, thorough dives into the research from a distinguished team of scholars, geared to a broad range of stakeholders, including teachers, school leaders, policymakers, and researchers. Each chapter addresses a different area of grading research and describes how the major findings in that area might be leveraged to improve grading policy and practice. Ultimately, Guskey and Brookhart identify four themes emerging from the research that can guide these efforts: - Start with clear learning goals, - Focus on the feedback function of grades, - Limit the number of grade categories, and - Provide multiple grades that reflect product, process, and progress criteria. By distilling the vast body of research evidence into meaningful, actionable findings and strategies, this book is the jump-start all stakeholders need to build a better understanding of what works—and where to go from here. |
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在使用cursor导入deepseek的API时报错如下所示，该怎么办？ - 知乎
是因为你的验证模型没有选对，你在添加了deepseek-chat模型之后得把 除了deepseek模型之外的所有模型全部取消勾选 ，才会用deepseek的模型去验证，这样你的apikey才会被应用到chat。
deepseek的chat和reasoner功能有何区别？ - 知乎
Chat是陪你唠嗑的“社牛客服”，Reasoner是帮你算账的“理科状元”。 一、定位差异：唠嗑VS算账 Chat 就像火锅店服务员： 能记住你上次点的麻辣锅底，接梗吐槽毫无压力，适合做客服、写段 …
现在这些大模型，哪个在代码编写上表现的最好呀？ - 知乎
2）MarsCode IDE. MarsCode 是豆包旗下的AI智能编程工具，它分为网页版和编程插件。提供以智能代码补全为代表的核心能力，能在编码过程中提供单行或整个函数的建议，同时支持在用 …
chat GPT近 2 年更新了 7 个版本，哪个最好用？ - 知乎
这7个版本基本上涵盖了从ChatGPT刚出世，到现在的最新版本。 但事实上，OpenAI只会开放最新的几个版本给用户，你看下面这张图，现在ChatGPT上可用的模型，其实分为两部分，左边 …
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GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 24, 2025 · Here's a couple of insightful articles on our newest playmaker (Chit-Chat) with her own remarks about herself and her new team. Chazadi ‘Chit-Chat’ Wright has committed to …
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · Frankly I think money is a better explanation of Iowa's portal activity. Iowa was in on Heckel (per Skim), but the rumored price tag was $500k. Chit-Chat's rumored price tag is …
Iowa Hawkeyes fan forums - Hawkeye Beacon
Hawkeye Beacon: Complete football, basketball, baseball and recruiting coverage and breaking news of the University of Iowa Hawkeyes.
GA Tech transfer Chazadi ‘Chit-Chat’ Wright has committed to Iowa
Apr 23, 2025 · I am exciting to see Chit Chat and KF on the court at the same time, from a defensive standpoint. They are going to be very disruptive to opposing teams trying to get into …
ChatGPT Prompts for Higher Education - alchemy.works
strategies and empower faculty in their course preparation and academic pursuits. We encourage you to try out the prompts below and discover how AI can enrich the learning experience for both …
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 …
Jun 8, 2023 · DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization Boya Zhang University of Geneva …
PROMPT ENGINEERING PLAYBOOK - Go
Prompt Engineering Playbook https://go.gov.sg/launchpad | 10 Prompt / Prompt Engineering In the context of interacting with an AI, a prompt refers to a piece of text or input provided by a user to …
KAJIAN LITERATUR MODEL PROMPT ENGINEERING …
related to the implementation of prompt engineering in utilizing generative AI models in higher education to support the teaching and learning process. Prompt engineering has certain patterns …
A Teacher's Prompt Guide to ChatGPT - Amazon Web Services
prompt into Chat GPT: "Generate a list of 5 alternative assessment methods that could be used to assess students' understanding of [concept being taught]." • Use a variety of teaching strategies …
The Ultimate ChatGPT Prompts Handbook - Virtual Elves
PROMPT HANDBOOK Un le a s h in g t h e P o w e r o f A I By Yourchatgptguide. TABLE OF 1. Copywriting Prompts 2. Email Marketing Prompts 3. Blog Writing Prompts 4. Influencer …
EXPLORING THE IMPACT OF PROMPT ENGINEERING ON …
Prompt engineering has emerged as an essential technique to influence the quality of generated summaries. The choice of summarization prompts is a crucial factor in determining the ... Bing …
Detecting Plagiarism with ChatGPT Using Prompt …
Using Prompt Engineering JOHANN BIÖRCK SOFIA ERIKSSON Degree Project in Computer Science and Engineering, First Cycle 15 credits Date: June 9, 2023 Supervisor: Richard Glassey Examiner: …
Guide to ChatGPT A Teacher's Prompt - WordPress.com
A Teacher's Prompt. Guide to ChatGPT. aligned with 'What Works Best' @herfteducator. We l com e t o t his short inst ru ct ional t e ache rs g u ide t o u sing. Chat GP T. Chat GP T is a p owe rf u l t …
60+ Ideas for ChatGPT Assignments - University of Texas at …
AI, as of course are home assistants (Alexa, etc.) and machine translation apps that effortlessly convert English into another language, even signs and printed text as seen through the phone’s …
ChatGPT - UW Department of Electrical & Computer …
example. In this course, we will begin with a recap of Deep learning and Natural language processing before moving into Large Language models and embeddings in first half of course. In …
H e r e ' s H o w t o B e c o m e - bildung-lsa.de
H e r e ' s H o w t o B e c o m e - bildung-lsa.de ... e*
10 Prompts avanzados para Chat GPT - iaingenieria
Prompt 1: Desarrollar un prompt para generar un algoritmo de clasificación de textos. Desarrolla un algoritmo de clasificación de textos que sea capaz de distinguir entre opiniones positivas y …
ChatGPT Alternative Solutions: Large Language Models Survey …
(NLP) models like GPT (Generative Pre-trained Transformer), prompt engineering in-volves crafting input queries or instructions in a way that elicits desired and contextually appropriate responses …
The Art of ChatGPT Interactions - SAGE Publications Inc
This course will help you build skills and confidence when using ChatGPT. It’ll help you master the art of prompt engineering and make better use of ChatGPT’s potential, by taking a systematic …
A Brief History of Prompt: Leveraging Language Models.
of various developments on prompt engineering. The journey of prompt engineering continues, with ethical considerations being paramount for the responsible and inclusive future of AI systems. …
PROMPT ENGINEERING FOR CHATGPT - ResearchGate
Prompt Engineering for ChatGPT 1 Introduction 1.1 Brief overview of ChatGPT ChatGPT is an advanced language model developed by OpenAI, based on the GPT-4 architecture.
Incorporating ChatGPT into Your Assignments - Center for …
GPT This! a writing assignment in the age of GPT-3 & other Large Language Models Educator Considerations for ChatGPT (from Open AI) Critical AI: Adapting College Writing for the Age of …
Mastering Generative AI and Prompt Engineering - Data …
1.2. Key generative AI models: RNNs, LSTMs, GPT, and more 1.3. Popular use cases for generative AI Chapter 2: Introduction to Prompt Engineering 2.1. What is prompt engineering and why it …
Jailbreaking ChatGPT via Prompt Engineering: An Empirical …
of jailbreaking CHATGPT, and the ongoing battle between breakers and defenders persists. To advance the research of prompt engineering-based jail-break against CHATGPT, we conducted …
ChatGPT Prompt Patterns for Improving Code Quality, …
In a chat-assisted LLM environment, a prompt is a message that a user sends to an LLM, such as ChatGPT, Claude, ... LLM. In the context of software engineering, a prompt is a natural language …
Prompt Engineering Guide - jentsch.io
Prompt Engineering von Bedeutung sind. Chat-GPT Einführung Chat-GPT ist ein Werkzeug, das in der Lage ist, im Dialog mit dem Nutzer zu interagieren. Das GPT-Modell ist darauf trainiert den …
Enhancing English as a Foreign Language (EFL) Learners …
GPT-3.5 in an EFL writing course designed according to the ADDIE model. The qualitative nature of this study is primarily focused on understanding students’ subjective experiences and …
Prompt Design - guidelines for GPT UiO/Microsoft Copilot
Prompts with explicit context and clear actions for the GPT will provide more relevant responses. Example Prompts. I am teaching a university course for first-year bachelor students. I would like …
Prompt Engineering with ChatGPT: A Guide for Academic …
Prompt engineering is a relatively new discipline that refers to the practice of developing and optimizing prompts to eec- ... Prompts play a crucial role in guiding AI models like Chat-GPT, but …
Corso - Course
Corso - Course 1/2000- Percorso Chat-GPT e Intelligenza Artificiale Generativa Ente organizzatore - Organisator CTM – Centro di Tecnologia e Management Srl, Via Macello 57, 39100 Bolzano ...
Chat GPT Chat GPT Prompt Enginerring Chat GPT - AIR} I …
Chat GPT Chat GPT Prompt Enginerring Chat GPT - AIR} I-LM - prompt engineering a-r- - Chat - VS code - Excel - 2024. 10. - 11. PM 01 - 06:00 ZOOM LHIOIHH https://naver.me/Gj61xLfa …
The Role of Artificial Intelligence in Learning & Development ...
the chat window or interface provided. When typing your questions or statements, it is important to use clear and concise language to ensure that it can understand your input. You can improve the …
How does prompt engineering affect ChatGPT performance …
In this study, we engineered 1 default prompt and 4 alternative prompts to assess GPT-3.5’s capabilities in ER. Each alternative was derived by modifying a single component from the default …
Improving ChatGPT Prompt for Code Generation - arXiv.org
Improving ChatGPT Prompt for Code Generation Chao Liu 1, Xuanlin Bao , Hongyu Zhang , Neng Zhang2, Haibo Hu1, Xiaohong Zhang 1, Meng Yan 1School of Big Data and Software engineering, …
OpenAI- ChatGPT - La dictature du beau
après sa date de "connaissance coupée", qui était en septembre 2021 pour le modèle GPT-4. Vous pouvez copier coller du contenu sur un sujet spécifique dans ChatGPT afin de l’entrainer. …
Enhancing Control and Responsiveness in ChatGPT: A Study …
3.2 Experimental Setup for Prompt Engineering To evaluate the impact of prompt engineering techniques on Chat-GPT’s responsiveness, we designed a series of experiments using different …
A Pilot Study Inquiring into the Impact of ChatGPT on Lab …
providing one such engineering-specific practice in college education. Lab reports in gateway engineering courses have a unique position in engineering education. These lab courses are …
Prompt Engineering or Fine-Tuning? A Case Study on
URL detection and apply them to two chat models, GPT-3.5-turbo and Claude 2. In this context, the maximum result achieved was an F1-score of 92.74% by using a test set of 1000 samples.
Prompt Engineering GPT4 - educacioncontinua.pucp.edu.pe
Prompt Engineering. usando Gpt4. Inicio. 15 de febrero. Duración. 16 horas. Vía. Zoom *Clases sincrónicas. Objetivo. Enfatizar en modelos. idóneos para una gran. variedad de aplicaciones en …
Impact of Chat GPT on the Marine Engineering Technology …
created their first GPT (generative pre trained transformer) in 2018 known simply as GPT. GPT was able to predict the next word in a sentence. Evolutionary improvements soon followed in 2019 …
Online Course Full Syllabus - SAGE Publications Inc
This course will help you build skills and confidence when using hatGPT. It’ll help you master the art of prompt engineering and make better use of hatGPT’s potential, by taking a systematic …
ChatGPT in Teaching Theory of Computation - ResearchGate
Abstract: The course, theory of computation, appears in many computer science bachelor’s degree program curricula. The course examines mathematical proofs based on strictly defined abstract ...
From zero to ChatGPT - uni-hohenheim.de
ChatGPT‘s answers have probabilistic elements. For a given prompt, the result may look different every time. If one if the prompts below is not reasonable given your specific chat with ChatGPT, …
Prompt Engineering for Lawyers - thefederation.org
Chat GPT 4o, Claude 3.5, and Perplexity. I use the free versions . of Gemini 1.5 and Co-Pilot. In my experience (and opinion), Chat GPT 40, Claude 3.5, and Perplexity meet our needs as lawyers …
ChatGPT for Higher Education and Professional Development: …
ChatGPT can be a writing collaborator that can assist you with generating words, an intellectual sparring partner that can engage with you in stimulating discussions, a dedicated research …
Welcome to the 50 ChatGPT Prompts for Writing! - Skillshare
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 be …
lege of Information Sciences and Technology, Pennsylvania …
prompt engineering, they also highlight the challenges and limitations of current approaches. Effective utilization of ChatGPT varies across domains, and domain-specific knowledge is …
Exploring Generative AI for Service-Oriented Software
The way we ask a prompt makes a big difference in the quality of code coming out of Chat GPT. Using specificity and outlining the exact requirements of the code is helpful in getting good code …
Engineering ChatGPT Prompts for EFL Writing Classes
Engineering ChatGPT Prompts for EFL Writing Classes Jerry Huang Kansai University, Osaka, Japan ... is founded on the GPT-3.5 architecture. GPT stands for Generative Pre-trained Transformer, is …
ChatGPT: Leveraging AI to Support Personalized Teaching and …
learning engineering, for feedback to be most effective, “it must be frequent, fast, and rich” (p. 140). Technology can improve our capacity to assess, respond, and meet learners’ needs in real …
Would Chat GPT Get a Wharton MBA? - Mack Institute for …
Part 1 of this paper reports on Chat GPT responding to some of my exam questions. Part 2 shows a sample of exam questions generated by Chat GPT. Finally, I articulate a set of implications for …
Could ChatGPT get an engineering degree? Evaluating higher …
university-level Science, Technology, Engineering, and Mathematics (STEM) courses. Specifically, we compile a dataset of textual assessment questions from 50 courses at the École …
Can GPT-4 Fool TurnItIn? Testing the Limits of AI Detection …
Title: Can GPT-4 Fool TurnItIn? Testing the Limits of AI Detection with Prompt Engineering Author: Abigail Foster Created Date: 6/1/2023 12:43:58 PM
