Advanced App Development with GPT-4o, GPT-4o Mini, and GPT-4

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Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (358 download)

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Book Synopsis Advanced App Development with GPT-4o, GPT-4o Mini, and GPT-4 by : Marco Gottschalk

Download or read book Advanced App Development with GPT-4o, GPT-4o Mini, and GPT-4 written by Marco Gottschalk and published by Independently Published. This book was released on 2024-08-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide takes you through the cutting-edge world of Generative Pre-trained Transformer (GPT) models, empowering you to create sophisticated applications that revolutionize user experiences. In this book, you'll discover how to seamlessly integrate GPT into your projects, from ideation to deployment. Whether you're a seasoned developer or just starting out, this guide offers practical insights, hands-on examples, and expert tips that make advanced AI technology accessible to everyone. What You'll Learn: -Foundations of GPT Technology: Understand the core principles behind GPT models and how they can be leveraged in app development. - Building Intelligent Applications: Step-by-step instructions on integrating GPT to create responsive, intuitive, and adaptive applications. - Enhancing User Interactions: Learn how to use GPT to improve user engagement and deliver personalized experiences. - Optimization and Scaling: Master the art of optimizing your GPT-powered applications for performance and scalability in real-world environments. - Practical Use Cases: Explore a variety of industry-specific applications, from chatbots and virtual assistants to content generation and beyond. With Advanced App Development with GPT, you're not just learning how to code-you're learning how to innovate. This book is your roadmap to mastering the future of AI technology, enabling you to stay ahead in a rapidly evolving digital landscape. Who This Book Is For: - App Developers: Seeking to incorporate cutting-edge AI into their applications. - Tech Enthusiasts: Interested in understanding the potential of GPT technology. - Business Innovators: Looking to leverage AI to create smarter, more efficient solutions.

Developing Apps with GPT-4 and ChatGPT

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109815245X
Total Pages : 158 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Developing Apps with GPT-4 and ChatGPT by : Olivier Caelen

Download or read book Developing Apps with GPT-4 and ChatGPT written by Olivier Caelen and published by "O'Reilly Media, Inc.". This book was released on 2023-08-29 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more

Developing Apps with GPT-4 and ChatGPT

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098168062
Total Pages : 299 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Developing Apps with GPT-4 and ChatGPT by : Olivier Caelen

Download or read book Developing Apps with GPT-4 and ChatGPT written by Olivier Caelen and published by "O'Reilly Media, Inc.". This book was released on 2024-07-10 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels. Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions.

GPT-4O MINI for Content Creators

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (336 download)

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Book Synopsis GPT-4O MINI for Content Creators by : Musk James S

Download or read book GPT-4O MINI for Content Creators written by Musk James S and published by Independently Published. This book was released on 2024-07-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: GPT-4O MINI for Content Creators: How to Use AI to Transform Your Creative Processes from Blogging to Social Media and Beyond Unlock the future of content creation with GPT-4O MINI for Content Creators-your ultimate guide to harnessing the power of AI to revolutionize your creative processes. Whether you're a blogger, social media manager, marketer, or digital content producer, this book provides the insights, tools, and strategies you need to elevate your work and stay ahead in a competitive landscape. Why You Need This Book: Dive into the transformative world of AI with GPT-4O MINI, an advanced tool designed to boost your creativity, efficiency, and output. Discover how AI can take the heavy lifting out of content creation, allowing you to focus on what you do best-creating engaging, authentic, and impactful content. What You'll Learn: Innovative Content Strategies: Learn how to leverage AI to generate fresh ideas, create compelling narratives, and maintain authenticity across all your content. SEO Optimization: Unlock the secrets of AI-driven SEO to ensure your content reaches a wider audience and ranks higher on search engines. Visual Content Enhancement: Explore AI tools that enhance your visual content, making it more engaging and visually appealing. Audience Insights: Utilize AI to gain deep insights into your audience's preferences and behaviors, enabling you to tailor your content for maximum impact. Real-World Success Stories: Get inspired by real-world examples of successful content creators who have transformed their processes with AI. Future Trends: Stay ahead of the curve by understanding emerging trends and opportunities in AI-driven content creation. Who Should Read This Book: Bloggers and Writers: Looking to generate ideas, streamline your writing process, and create more engaging posts. Social Media Managers: Seeking to craft attention-grabbing posts, automate updates, and analyze engagement. Marketers: Wanting to personalize campaigns, enhance SEO, and use data-driven insights to refine strategies. Content Creators: Aspiring to stay innovative and leverage the latest AI tools to produce high-quality content efficiently. When and Where to Use AI in Content Creation: Discover practical steps to integrate AI into your workflow, from initial ideation to final edits. Learn how to balance AI assistance with your unique creative input, ensuring your content remains original and captivating. Don't miss out on the opportunity to revolutionize your content creation process. Grab your copy of GPT-4O MINI for Content Creators today and start transforming your creative workflow with the power of AI. Embrace the future, enhance your skills, and achieve remarkable results in your content creation journey. Get ready to experience the joy of effortless creativity and unparalleled productivity. Your journey to becoming a cutting-edge content creator starts here!

Développement D'applications Avancées Avec GPT-4o, GPT-4o Mini et GPT-4

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Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (359 download)

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Book Synopsis Développement D'applications Avancées Avec GPT-4o, GPT-4o Mini et GPT-4 by : Marco Gottschalk

Download or read book Développement D'applications Avancées Avec GPT-4o, GPT-4o Mini et GPT-4 written by Marco Gottschalk and published by Independently Published. This book was released on 2024-08-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce guide complet vous plonge dans le monde de pointe des modèles Generative Pre-trained Transformer (GPT), vous permettant de créer des applications sophistiquées qui révolutionnent les expériences utilisateur. Dans ce livre, vous découvrirez comment intégrer GPT de manière fluide dans vos projets, de l'idéation au déploiement. Que vous soyez un développeur expérimenté ou que vous débutiez, ce guide offre des informations pratiques, des exemples concrets et des conseils d'experts qui rendent la technologie avancée de l'IA accessible à tous. Ce que vous apprendrez: Fondements de la technologie GPT: Comprenez les principes de base des modèles GPT et comment ils peuvent être exploités dans le développement d'applications. Création d'applications intelligentes: Instructions pas à pas sur l'intégration de GPT pour créer des applications réactives, intuitives et adaptatives. Amélioration des interactions utilisateur: Apprenez à utiliser GPT pour améliorer l'engagement des utilisateurs et offrir des expériences personnalisées. Optimisation et mise à l'échelle: Maîtrisez l'art d'optimiser vos applications basées sur GPT pour les performances et l'évolutivité dans des environnements réels. Cas pratiques: Explorez une variété d'applications spécifiques à l'industrie, des chatbots et assistants virtuels à la génération de contenu et au-delà. Avec "Advanced App Development with GPT", vous n'apprenez pas seulement à coder, vous apprenez à innover. Ce livre est votre feuille de route pour maîtriser l'avenir de la technologie de l'IA, vous permettant de rester en tête dans un paysage numérique en évolution rapide. À qui s'adresse ce livre: Développeurs d'applications: Souhaitant intégrer une IA de pointe dans leurs applications. Passionnés de technologie: Intéressés par la compréhension du potentiel de la technologie GPT. Innovateurs en affaires: Cherchant à exploiter l'IA pour créer des solutions plus intelligentes et plus efficaces.

Advanced Natural Language Processing with TensorFlow 2

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1800201052
Total Pages : 381 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Advanced Natural Language Processing with TensorFlow 2 by : Ashish Bansal

Download or read book Advanced Natural Language Processing with TensorFlow 2 written by Ashish Bansal and published by Packt Publishing Ltd. This book was released on 2021-02-04 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasks Key FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook Description Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems. What you will learnGrasp important pre-steps in building NLP applications like POS taggingUse transfer and weakly supervised learning using libraries like SnorkelDo sentiment analysis using BERTApply encoder-decoder NN architectures and beam search for summarizing textsUse Transformer models with attention to bring images and text togetherBuild apps that generate captions and answer questions about images using custom TransformersUse advanced TensorFlow techniques like learning rate annealing, custom layers, and custom loss functions to build the latest DeepNLP modelsWho this book is for This is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. The readers who can benefit the most from this book include intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques and professionals who already use TensorFlow/Python for purposes such as data science, ML, research, analysis, etc.

Building AI Intensive Python Applications

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Publisher : Packt Publishing Ltd
ISBN 13 : 1836207247
Total Pages : 299 pages
Book Rating : 4.8/5 (362 download)

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Book Synopsis Building AI Intensive Python Applications by : Rachelle Palmer

Download or read book Building AI Intensive Python Applications written by Rachelle Palmer and published by Packt Publishing Ltd. This book was released on 2024-09-06 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI apps Key Features Get to grips with the fundamentals of LLMs, vector databases, and Python frameworks Implement effective retrieval-augmented generation strategies with MongoDB Atlas Optimize AI models for performance and accuracy with model compression and deployment optimization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications. The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance. By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.What you will learn Understand the architecture and components of the generative AI stack Explore the role of vector databases in enhancing AI applications Master Python frameworks for AI development Implement Vector Search in AI applications Find out how to effectively evaluate LLM output Overcome common failures and challenges in AI development Who this book is for This book is for software engineers and developers looking to build intelligent applications using generative AI. While the book is suitable for beginners, a basic understanding of Python programming is required to make the most of it.

OpenShift Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1783981210
Total Pages : 712 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis OpenShift Cookbook by : Shekhar Gulati

Download or read book OpenShift Cookbook written by Shekhar Gulati and published by Packt Publishing Ltd. This book was released on 2014-10-29 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a web application developer who wants to use the OpenShift platform to host your next big idea but are looking for guidance on how to achieve this, then this book is the first step you need to take. This is a very accessible cookbook where no previous knowledge of OpenShift is needed.

Deep Learning and the Game of Go

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Publisher : Simon and Schuster
ISBN 13 : 1638354014
Total Pages : 611 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning and the Game of Go by : Kevin Ferguson

Download or read book Deep Learning and the Game of Go written by Kevin Ferguson and published by Simon and Schuster. This book was released on 2019-01-06 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning

Deep Learning for Coders with fastai and PyTorch

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Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Glossary of Prosthodontic Terms

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Publisher :
ISBN 13 :
Total Pages : 80 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Glossary of Prosthodontic Terms by :

Download or read book The Glossary of Prosthodontic Terms written by and published by . This book was released on 1994 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Healthcare

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Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

AI and education

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Publisher : UNESCO Publishing
ISBN 13 : 9231004476
Total Pages : 50 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis AI and education by : Miao, Fengchun

Download or read book AI and education written by Miao, Fengchun and published by UNESCO Publishing. This book was released on 2021-04-08 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

The Origin of Consciousness in the Breakdown of the Bicameral Mind

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Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0547527543
Total Pages : 580 pages
Book Rating : 4.5/5 (475 download)

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Book Synopsis The Origin of Consciousness in the Breakdown of the Bicameral Mind by : Julian Jaynes

Download or read book The Origin of Consciousness in the Breakdown of the Bicameral Mind written by Julian Jaynes and published by Houghton Mifflin Harcourt. This book was released on 2000-08-15 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: National Book Award Finalist: “This man’s ideas may be the most influential, not to say controversial, of the second half of the twentieth century.”—Columbus Dispatch At the heart of this classic, seminal book is Julian Jaynes's still-controversial thesis that human consciousness did not begin far back in animal evolution but instead is a learned process that came about only three thousand years ago and is still developing. The implications of this revolutionary scientific paradigm extend into virtually every aspect of our psychology, our history and culture, our religion—and indeed our future. “Don’t be put off by the academic title of Julian Jaynes’s The Origin of Consciousness in the Breakdown of the Bicameral Mind. Its prose is always lucid and often lyrical…he unfolds his case with the utmost intellectual rigor.”—The New York Times “When Julian Jaynes . . . speculates that until late in the twentieth millennium BC men had no consciousness but were automatically obeying the voices of the gods, we are astounded but compelled to follow this remarkable thesis.”—John Updike, The New Yorker “He is as startling as Freud was in The Interpretation of Dreams, and Jaynes is equally as adept at forcing a new view of known human behavior.”—American Journal of Psychiatry

Marketing Artificial Intelligence

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Publisher : BenBella Books
ISBN 13 : 1637740794
Total Pages : 257 pages
Book Rating : 4.6/5 (377 download)

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Book Synopsis Marketing Artificial Intelligence by : Paul Roetzer

Download or read book Marketing Artificial Intelligence written by Paul Roetzer and published by BenBella Books. This book was released on 2022-06-28 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. As the amount of data exponentially increases, marketers’ abilities to filter through the noise and turn information into actionable intelligence remain limited. Roetzer and Kaput show you how to make breaking through that noise your superpower. So, come along on a journey of exploration and enlightenment. Marketing Artificial Intelligence is the blueprint for understanding and applying AI, giving you just the edge in your career you’ve been waiting for.

Brain-Inspired Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 3030824276
Total Pages : 159 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Brain-Inspired Computing by : Katrin Amunts

Download or read book Brain-Inspired Computing written by Katrin Amunts and published by Springer Nature. This book was released on 2021-07-20 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.

Jefferson Himself

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Publisher : University of Virginia Press
ISBN 13 : 9780813903101
Total Pages : 420 pages
Book Rating : 4.9/5 (31 download)

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Book Synopsis Jefferson Himself by : Thomas Jefferson

Download or read book Jefferson Himself written by Thomas Jefferson and published by University of Virginia Press. This book was released on 1970 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: