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Dynamic ChatGPT: AI Strategies for Small Business by Ron Clark and Kim Clark, M.S.B. serves as a comprehensive guide for driven entrepreneurs, helping them harness the power of artificial intelligence (AI) through ChatGPT to streamline their operations, improve customer service, demystify marketing, and help grow their businesses in an increasingly AI-driven world. Through practical examples, case studies, and ethical considerations, small business owners will gain the knowledge and confidence to leverage AI.
ChatGPT for Curriculum Developers: AI-Driven Curriculum Design by Jade Summers Pdf
Are You Ready to Revolutionize Education with AI? Explore the transformative power of artificial intelligence in the educational sector with the groundbreaking guide, "ChatGPT for Curriculum Developers: AI-Driven Curriculum Design" This essential book offers a deep dive into how AI technology is not just enhancing but revolutionizing teaching methods and learning experiences. Why "ChatGPT for Curriculum Developers: AI-Driven Curriculum Design" is a Must-Read Starting with the essentials, "ChatGPT for Curriculum Developers: AI-Driven Curriculum Design" introduces you to the core components of AI and its increasing significance in education. From automating time-consuming administrative tasks to developing personalized learning paths, discover how AI elevates teaching effectiveness and boosts student engagement like never before. The Evolution of Educational Technologies Journey through the evolution of educational technologies, from the simple blackboard to today's advanced AI-driven tools. Uncover the critical milestones that have shaped educational practices and set the stage for the next big leap—AI-enhanced learning environments. AI's Role in Curriculum Development Dive into the game-changing world where AI tools like ChatGPT are reimagining curriculum development. The book showcases how these technologies tailor educational content to individual needs, offer predictive analytics on learning trends, and foster curricula that are inclusive and accessible. How AI Supports Educators Furthermore, "ChatGPT for Curriculum Developers: AI-Driven Curriculum Design" highlights the support AI provides to educators—simplifying lesson planning, grading, and personalized student feedback. With AI as a digital assistant, gain insights into how real-time data and AI suggestions can refine teaching strategies and improve classroom dynamics. Key Features and Benefits Real-world examples of AI application in educational settings Ethical discussions on the integration of AI into education Visionary insights into the future impacts of AI on educational practices "ChatGPT for Curriculum Developers: AI-Driven Curriculum Design" is packed with real-world examples, sparks ethical discussions, and delivers visionary insights into the future of education. It’s an indispensable guide for educators, administrators, and anyone intrigued by the nexus of AI and learning. This is not just a book; it's a call to be at the forefront of educational innovation. 🔍💡 Don’t Miss Out! Don’t miss out on harnessing the potential of AI in education. Grab your copy today and step into a future where education is more personalized, effective, and inclusive! 🌟
Prompt Engineering Using ChatGPT by Mehrzad Tabatabaian Pdf
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.
ChatGPT for Teachers: Enhancing Classroom Engagement by Jade Summers Pdf
🌟 Discover the Future of Education with AI! 🌟 Are you ready to revolutionize your teaching methods and embrace the future of education? "GPT in Education" is your essential guide to integrating the cutting-edge technology of ChatGPT into your classrooms, transforming conventional teaching into an interactive, impactful learning journey. This comprehensive guide is meticulously designed for educators who aspire to leverage AI to enhance their lesson planning and engage students like never before. From understanding the basics of ChatGPT’s capabilities to creating dynamic, media-rich educational experiences, this book is a treasure trove of knowledge waiting to be unleashed in your educational practice. Here’s what you’ll discover inside: Mastering the Basics: Start with a solid foundation. Familiarize yourself with how ChatGPT works, its potential in educational settings, and the ethical considerations of integrating AI in teaching. Interactive Lesson Planning: Learn to craft engaging lesson plans using AI, with a focus on simulations, role-plays, and tailored interactions that address diverse classroom needs and learning styles. Personalized Learning Experiences: Delve into the customization of learning, utilizing ChatGPT to meet individual student needs effectively and efficiently, ensuring every learner feels supported and challenged. Enhancing Content with Multimedia: Explore the endless possibilities of combining AI with various media formats to create captivating educational content that resonates with all students. Whether you are a novice eager to explore AI tools in education or a seasoned educator seeking to enhance your teaching toolkit, "GPT in Education" provides the insights and practical strategies needed to effectively incorporate AI into your curriculum. Transform your educational approach and make learning more tailored, engaging, and impactful. Dive into "GPT in Education" today and take your first step towards a futuristic classroom! 🚀 Click ‘Buy Now’ to embark on your journey to becoming a pioneering educator in the AI-driven world! 🚀
Machine Learning, Natural Language Processing, and Psychometrics by Hong Jiao,Robert W. Lissitz Pdf
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better understand the assessment products or accuracy and the process how an item product was attained. The analysis of the conventional and non-conventional assessment data calls for more methodology other than the latent trait modeling. Natural language processing (NLP) methods and machine learning algorithms have been successfully applied in automated scoring. It has been explored in providing diagnostic feedback to test-takers in writing assessment. Recently, machine learning algorithms have been explored for cheating detection and cognitive diagnosis. When the measurement field promote the use of assessment data to provide feedback to improve teaching and learning, it is the right time to explore new methodology and explore the value added from other data sources. This book presents the use cases of machine learning and NLP in improving the assessment theory and practices in high-stakes summative assessment, learning, and instruction. More specifically, experts from the field addressed the topics related to automated item generations, automated scoring, automated feedback in writing, explainability of automated scoring, equating, cheating and alarming response detection, adaptive testing, and applications in science assessment. This book demonstrates the utility of machine learning and NLP in assessment design and psychometric analysis.
Big Data – BigData 2023 by Shunli Zhang,Bo Hu,Liang-Jie Zhang Pdf
This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23–26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on research track and application track.
Vector Search for Practitioners with Elastic by Bahaaldine Azarmi,Jeff Vestal Pdf
"This book delves into the practical applications of vector search in Elastic and embodies a broader philosophy. It underscores the importance of search in the age of Generative Al and Large Language Models. This narrative goes beyond the 'how' to address the 'why' - highlighting our belief in the transformative power of search and our dedication to pushing boundaries to meet and exceed customer expectations." Shay Banon Founder & CTO at Elastic Key Features Install, configure, and optimize the ChatGPT-Elasticsearch plugin with a focus on vector data Learn how to load transformer models, generate vectors, and implement vector search with Elastic Develop a practical understanding of vector search, including a review of current vector databases Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWhile natural language processing (NLP) is largely used in search use cases, this book aims to inspire you to start using vectors to overcome equally important domain challenges like observability and cybersecurity. The chapters focus mainly on integrating vector search with Elastic to enhance not only their search but also observability and cybersecurity capabilities. The book, which also features a foreword written by the founder of Elastic, begins by teaching you about NLP and the functionality of Elastic in NLP processes. Here you’ll delve into resource requirements and find out how vectors are stored in the dense-vector type along with specific page cache requirements for fast response times. As you advance, you’ll discover various tuning techniques and strategies to improve machine learning model deployment, including node scaling, configuration tuning, and load testing with Rally and Python. You’ll also cover techniques for vector search with images, fine-tuning models for improved performance, and the use of clip models for image similarity search in Elasticsearch. Finally, you’ll explore retrieval-augmented generation (RAG) and learn to integrate ChatGPT with Elasticsearch to leverage vectorized data, ELSER's capabilities, and RRF's refined search mechanism. By the end of this NLP book, you’ll have all the necessary skills needed to implement and optimize vector search in your projects with Elastic.What you will learn Optimize performance by harnessing the capabilities of vector search Explore image vector search and its applications Detect and mask personally identifiable information Implement log prediction for next-generation observability Use vector-based bot detection for cybersecurity Visualize the vector space and explore Search.Next with Elastic Implement a RAG-enhanced application using Streamlit Who this book is for If you're a data professional with experience in Elastic observability, search, or cybersecurity and are looking to expand your knowledge of vector search, this book is for you. This book provides practical knowledge useful for search application owners, product managers, observability platform owners, and security operations center professionals. Experience in Python, using machine learning models, and data management will help you get the most out of this book.
Preparing Students for the Future Educational Paradigm by Al Husseiny, Fatima,Munna, Afzal Sayed Pdf
New technology, globalized markets, and changing employment needs contribute to the fast transformation of the educational landscape, which presents new opportunities and challenges for students. How can educators strategically adapt and enhance learning ecosystems to effectively prepare students for the challenges and opportunities of the rapidly evolving educational landscape and the future workforce? Preparing Students for the Future Educational Paradigm delves into the intricate web of learning ecosystems, exploring their pivotal role in shaping the education of tomorrow. The contemporary educational landscape demands a paradigm shift, and this book addresses the key challenges and opportunities inherent in learning ecosystems. It dissects these interconnected networks of individuals, groups, and resources designed to foster learning, laying bare the essential elements defining efficiency, equity, and inclusivity. This book identifies the pressing issues facing learning ecosystems and provides innovative ideas and practical strategies for rejuvenating these ecosystems. Educators will find in-depth insights into the application of learning ecosystems to enhance student learning, coupled with tangible suggestions for improvement. Policymakers will discover how to champion learning ecosystems through practical political actions and legislation. Beyond these professionals, the book captures the attention of parents, community members, businesses, and scholars, making it an indispensable read for anyone invested in the future of education.
Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics by Ting-Chao Chou Pdf
“Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics provides a comprehensive overview and update of the mass-action law-based unified dose-effect biodynamics, pharmacodynamics, bioinformatics, and the combination index theorem for synergy definition (MAL-BD/PD/BI/CI). Contents advocate the fundamental MAL-PD/BI/CI/BI principle for biomedical R&D, clinical trials protocol design computerized data analysis, illustrates the MAL-dynamics theory with sample analysis, and includes data entry and automated computer report print-outs. In 11 sections “Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics leads the reader from an introduction and overview, to trial protocols and MAL-PD/CI approach for biomedical R&D in vitro and in animals. It describes the current Landscape of International FDA Drug Evaluation, Clinical Pharmacology, and Clinical Trials Guidance. This is a valuable resource for biomedical researchers, healthcare professionals, and students seeking to harness the power of data informatics in precision medicine. • gives insight into that index equation (DRIE) that digitally determines how many folds of dose-reduction is needed for each drug in synergistic combinations • provides a comprehensive overview and update of mass-action law-based unified bioinformatics, dose effect biodynamics, pharmacodynamics, and the combination index theorem for synergy definition (MAL-BD/PD/BI/CI) • describes how the MAL theory/algorithm-based “Top-Down digital approach is the opposite and yet is a complementary alternative to the observation/statistics-based “Bottom-Up traditional approach in R&D
The Impact of ChatGPT on Higher Education by Caroline Fell Kurban,Muhammed Şahin Pdf
In an ever-evolving educational landscape, traditional methods face unprecedented challenges. The Impact of ChatGPT on Higher Education takes you on a trailblazing journey into ChatGPT's transformative potential and the ethical considerations in higher education.
Artificial Intelligence with Microsoft Power BI by Jen Stirrup,Thomas J. Weinandy Pdf
Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project
