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How To Use Chatgpt And Other Large Language Models As A Teaching Assistant


How To Use Chatgpt And Other Large Language Models As A Teaching Assistant
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How To Use Chatgpt And Other Large Language Models As A Teaching Assistant


How To Use Chatgpt And Other Large Language Models As A Teaching Assistant
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Author : Lynn M. Dickinson
language : en
Publisher:
Release Date : 2014

How To Use Chatgpt And Other Large Language Models As A Teaching Assistant written by Lynn M. Dickinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Artificial intelligence categories.


"How to use ChatGPT as a teaching assistant is your essential guide to integrating artificial intelligence into higher education. Crafted for educators at all levels of tech-savviness, this book unravels the complexities of AI, offering straightforward, ethical, and practical approaches to enhance your teaching." -- Back Cover



Artificial Intelligence In Education


Artificial Intelligence In Education
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Author : Andrew M. Olney
language : en
Publisher: Springer Nature
Release Date :

Artificial Intelligence In Education written by Andrew M. Olney and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Enhancing Higher Education And Research With Openai Models


Enhancing Higher Education And Research With Openai Models
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Author : Demir, ?irvan ?en
language : en
Publisher: IGI Global
Release Date : 2024-06-05

Enhancing Higher Education And Research With Openai Models written by Demir, ?irvan ?en and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-05 with Education categories.


As classrooms move from chalkboards to digital platforms, there's a critical juncture where the potential of AI intersects with the future of academia. The problem is multifaceted — it involves the nature of pedagogy, the demand for personalized learning experiences, and the ethical considerations inherent in deploying AI technologies. Educators, researchers, and administrators face the challenge of navigating this transformation while ensuring inclusivity, fairness, and ethical practice. Integrating AI in higher education risks becoming a chaotic endeavor without a comprehensive understanding of the opportunities, challenges, and ethical dimensions. The lack of a strategic approach could lead to biases, privacy concerns, and a digital divide exacerbating educational inequalities. Enhancing Higher Education and Research With OpenAI Models explores the intersection of artificial intelligence and higher education, focusing on the social sciences. A collaborative team of academics and AI expert's analyses aims to illuminate the transformative potential of integrating AI technologies into traditional educational settings. The book unravels the rich tapestry of the history of higher education in the social sciences, tracing the evolution from conventional blackboards to the modern digital landscape. It meticulously examines the increasing integration of technology in classrooms. It sets the stage for the impact of AI-driven tools and data analytics on pedagogy, personalized learning experiences, and broader access to education.



Third Symposium Proceedings New Ways Of Teaching And Learning


Third Symposium Proceedings New Ways Of Teaching And Learning
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Author : Janina Morska
language : en
Publisher: WTM-Verlag Münster
Release Date :

Third Symposium Proceedings New Ways Of Teaching And Learning written by Janina Morska and has been published by WTM-Verlag Münster this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.


This volume contains the papers presented at the Third International Symposium on New Ways of Teaching & Learning held from August 6-10, 2024, at the Aemilia Hotel, Bologna, Italy. The Conference was organized by The Mathematics Education for the Future Project - an international educational project founded in 1986 and dedicated to innovation in mathematics, statistics, science and computer education world wide.



Transforming Education With Generative Ai Prompt Engineering And Synthetic Content Creation


Transforming Education With Generative Ai Prompt Engineering And Synthetic Content Creation
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Author : Sharma, Ramesh C.
language : en
Publisher: IGI Global
Release Date : 2024-02-07

Transforming Education With Generative Ai Prompt Engineering And Synthetic Content Creation written by Sharma, Ramesh C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-07 with Education categories.


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.



Breaking The Language Barrier Demystifying Language Models With Openai


Breaking The Language Barrier Demystifying Language Models With Openai
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Author : Rayan Wali
language : en
Publisher: Rayan Wali
Release Date : 2023-03-08

Breaking The Language Barrier Demystifying Language Models With Openai written by Rayan Wali and has been published by Rayan Wali this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-08 with Computers categories.


Breaking the Language Barrier: Demystifying Language Models with OpenAI is an informative guide that covers practical NLP use cases, from machine translation to vector search, in a clear and accessible manner. In addition to providing insights into the latest technology that powers ChatGPT and other OpenAI language models, including GPT-3 and DALL-E, this book also showcases how to use OpenAI on the cloud, specifically on Microsoft Azure, to create scalable and efficient solutions.



Artificial Intelligence In Education


Artificial Intelligence In Education
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Author : Andrew M. Olney
language : en
Publisher: Springer Nature
Release Date :

Artificial Intelligence In Education written by Andrew M. Olney and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Transforming Conversational Ai


Transforming Conversational Ai
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Author : Michael McTear
language : en
Publisher: Springer Nature
Release Date :

Transforming Conversational Ai written by Michael McTear and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Teaching And Assessment In The Era Of Education 5 0


Teaching And Assessment In The Era Of Education 5 0
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Author : Chemsi, Ghizlane
language : en
Publisher: IGI Global
Release Date : 2024-07-17

Teaching And Assessment In The Era Of Education 5 0 written by Chemsi, Ghizlane and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Education categories.


In the rapidly evolving landscape of Education 5.0, educators and institutions grapple with unprecedented challenges in leveraging digital technologies to enhance teaching, learning, and assessment. The profound shift towards a more humanized educational experience, focusing on social and emotional growth alongside skill development, demands a paradigmatic transformation. However, a palpable gap exists in understanding and navigating the complexities of this digital transition. Educators, students, and administrators are left facing dilemmas related to pedagogical innovation, technology integration, and effective learning assessment in the digital age. Enter Teaching and Assessment in the Era of Education 5.0, a definitive guide poised to bridge the gap between the challenges posed by Education 5.0 and actionable solutions. The current educational milieu faces a conundrum as it attempts to adapt to the tenets of Education 5.0. The digital transition poses challenges, from incorporating immersive technologies to understanding the attitudes of educators and students towards digitization. Furthermore, the design and implementation of training and distance learning systems require a nuanced approach, calling for engineering expertise in training, pedagogy, and tutoring. The assessment landscape, crucial for gauging the effectiveness of learning in the digital era, grapples with contemporary trends, ethical considerations, and the ever-present specter of plagiarism. This multifaceted challenge necessitates a comprehensive resource that not only delineates the issues but offers actionable solutions to navigate this transformative journey.



Machine Learning With Pytorch And Scikit Learn


Machine Learning With Pytorch And Scikit Learn
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Author : Sebastian Raschka
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-02-25

Machine Learning With Pytorch And Scikit Learn written by Sebastian Raschka and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-25 with Computers categories.


This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.