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Author : Jerry Kaplan
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (559 download)
Download or read book Generative A.I. Conoscere, capire e usare l'intelligenza artificiale generativa written by Jerry Kaplan and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Divit Gupta
Publisher : BPB Publications
ISBN 13 : 935551672X
Total Pages : 418 pages
Book Rating : 4.3/5 (555 download)
Download or read book The Potential of Generative AI written by Divit Gupta and published by BPB Publications. This book was released on 2024-01-06 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the power and potential of Generative AI for a limitless future KEY FEATURES ● Holistic and accessible journey into Generative AI. ● Indispensable guide for unleashing Generative AI potential. ● Transforming technology, business, art, and innovation, covering technological advancements and business optimization. DESCRIPTION The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will learn how AI helps doctors, engineers, and scientists solve real-world problems. Next, you will explore use cases where ChatGPT can boost productivity and enhance creativity. The book explores the journey from the origins of this revolutionary technology to its cutting-edge applications. Discover how generative models like GANs and VAEs work, and familiarize yourself with the impact they are making in fields like healthcare, finance, and art. Through real-world case studies and engaging examples, you will witness AI generating life-saving drugs, composing music, and even designing innovative products. This book explores the cutting-edge capabilities and potential of generative AI in the tech landscape. It will help you discover how generative AI can unlock new opportunities and enhance business operations. WHAT YOU WILL LEARN ● Learn about the different types of generative models, how they work, and their impact across various industries including healthcare, finance, and entertainment. ● Explore the creative potential of generative AI in art, music, and design. ● Develop Generative Adversarial Networks (GANs), with a focus on their architecture, training process, and real-world applications. ● Build and deploy generative models, ensuring readers to leverage this powerful technology. ● Perfect the art of generating text, images, music, and even code with AI, utilize your creative potential. WHO THIS BOOK IS FOR This book is for artists, programmers, musicians, designers, writers, researchers, entrepreneurs, scientists, Machine Learning practitioners and dreamers of all sorts. Generative AI awaits and is ready to transform your craft and empower your vision. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Generative AI in Industries 3. Fundamentals of Generative Models 4. Applications Across Industries 5. Creative Expression with Generative AI 6. Generative AI in Business and Innovation 7. Deep Dive into GANs 8. Building and Deploying Generative Models
Author : Stefano Moriggi
Publisher : Il Margine
ISBN 13 :
Total Pages : 93 pages
Book Rating : 4.2/5 (598 download)
Download or read book L'Intelligenza Artificiale e i suoi fantasmi written by Stefano Moriggi and published by Il Margine. This book was released on 2024-05-13 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Per gli entusiasti delle tecnologie emergenti e per i critici scettici: questo breve saggio esplora l'evoluzione delle Intelligenze Artificiali, mettendo in luce come le reti generative diventino "scatole nere" di risposte prive di spiegazioni. In un viaggio che da Giordano Bruno arriva fino a Pac-Man, il testo evidenzia la complessità delle reti generative, per aiutare lettori e lettrici a comprendere meglio l’AI e sfatarne i pregiudizi.La storia che conduce alle attuali reti generative è fatta di idee, scoperte, illusioni, primavere e inverni della ricerca, fantasmi concettuali, entusiasmi e risultati che sino a pochi anni fa venivano visti come esclusivo appannaggio di racconti e film di fantascienza.Ripercorrendo la storia, da Giordano Bruno fino ad arrivare a Pac Man, questo testo esplora l’evoluzione delle Intelligenze Artificiali. Concentrandosi sulle reti generative che diventano “scatole nere” di risposte prive di spiegazioni, gli autori mettono in luce la complessità e i miti che le circondano, con l’obiettivo di sfatare i pregiudizi spesso ad essa connessi.Il libro vuole essere una guida sia per gli entusiasti delle tecnologie emergenti, che per i critici scettici. Esso, infatti, presenta in modo accessibile e rigoroso l’utilizzo e le implicazioni delle reti neurali, fornendo una visione critica e approfondita della creatività amplificata dalle tecnologie. Inoltre, cerca di chiarire perché ciò che spesso chiamiamo “Intelligenza” potrebbe non esserlo e perché l’artificialità non è sempre così marcata come pensiamo.
Author : Numa Dhamani
Publisher : Simon and Schuster
ISBN 13 : 1633437191
Total Pages : 334 pages
Book Rating : 4.6/5 (334 download)
Download or read book Introduction to Generative AI written by Numa Dhamani and published by Simon and Schuster. This book was released on 2024-02-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you’ll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What’s next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI
Author : AA.VV.
Publisher : Gruppo 24 Ore
ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.2/5 (548 download)
Download or read book Guida Intelligenza Artificiale written by AA.VV. and published by Gruppo 24 Ore. This book was released on 2023-03-08T00:00:00+01:00 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quello che ci fa paura più del cambiamento è la velocità del cambiamento. E negli ultimi anni, la trasformazione tecnologica ha accelerato a ritmi che sembrano sempre più insostenibili. Questo riguarda tutti, cittadini, amministratori pubblici e imprenditori. Da questo punto di vista l’intelligenza artificiale ci fa ancora più paura: l’Ai a portata di mano con ChatGpt ha prodotto un proliferare di notizie e dibattiti, spesso fuorvianti, con l’effetto di ingenerare ancora più ansia verso un futuro che appare fuori controllo. O addirittura sotto il controllo delle macchine. Quello che abbiamo capito è che l’intelligenza artificiale appare ancora deficitaria ma che, per il momento, ha imparato molto bene a comunicare. Senz’altro sarà sempre più pervasiva in tanti settori, in una logica di efficienza e di personalizzazione.
Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1394245564
Total Pages : 313 pages
Book Rating : 4.3/5 (942 download)
Download or read book Generative AI in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2024-03-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the future as we journey through the next frontier of technological advancement Generative AI isn't just the biggest trend right now; it's the pinnacle of today's technological evolution. Beyond the capabilities of ChatGPT and similar AIs that can generate written content and artwork, GenAI is rewriting the rulebook. From crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs, the horizons are limitless. Picture a world where your daily news is read by your favorite celebrity, where video games conjure unparalleled universes in real-time, where machines concoct groundbreaking medicines, and where literature and courses are tailored flawlessly for you. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide not only introduces the uninitiated to this groundbreaking technology but outlines the profound and unprecedented impact of GenAI on the fabric of business and society. It's set to redefine all our jobs, revolutionize business operations, and question the very foundations of existing business models. Beyond merely altering, GenAI promises to elevate the products and services at the heart of enterprises and intricately weave itself into the tapestry of our daily lives. Through 19 enriching chapters, Marr canvases a vast array of sectors, shedding light on the most innovative real-world GenAI applications through practical examples and how they are molding the contours of various industries including retail, healthcare, education, and finance. Marr discusses the exciting innovations in media and entertainment to the seismic shifts in advertising, customer engagement and beyond, but also critically addresses the risks, challenges, and the future trajectory of GenAI. Throughout the pages of this book, you will: Navigate the complex landscapes of risks and challenges posed by GenAI. Delve into the revolutionary transformation of the job market in the age of GenAI. Discover how retail is evolving with virtual try-ons and AI-powered personalization. Dive deep into the transformative impact on education, offering truly personalized learning experiences. Witness the metamorphosis of healthcare, from AI-aided drug discoveries to custom advice. Explore the boundless potentials in media, design, banking, coding, and even the legal arena. Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology and its monumental impact on our world, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools in the appendix.
Author : Luca Mari
Publisher : Gruppo 24 Ore
ISBN 13 :
Total Pages : 120 pages
Book Rating : 4.2/5 (548 download)
Download or read book L'intelligenza artificiale di Dostoevskij written by Luca Mari and published by Gruppo 24 Ore. This book was released on 2024-02-09T00:00:00+01:00 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: L’avvento dell’Intelligenza Artificiale Generativa sta cambiando il nostro modo di percepire la realtà: è la cosa più simile a un incontro con un’entità aliena che sia capitata al genere umano e, per quanto ne sappiamo, nessuno si è mai trovato finora in questa situazione. La paura dell’ignoto è naturale, ma lo stupore per la novità può essere più forte. Questo libro esplora le possibilità di un futuro in cui saremo in grado di dialogare con intelligenze artificiali come ChatGPT e Bard. È un viaggio alla scoperta di noi stessi e della nostra umanità, che non richiede competenze tecniche o matematiche, ma che magari ci farà respirare la bellezza di terre poco esplorate al confine tra “cultura tecnico-scientifica” e “cultura umanistica”, e che potremo abitare se saremo saggi nelle decisioni che prenderemo: insieme con gli alieni che ci siamo costruiti. L’importanza di un’educazione alla responsabilità dovrebbe essere evidente. Come è stato detto, «da un grande potere derivano grandi responsabilità», e i chatbot ci mettono a disposizione un grande potere cognitivo. È nelle nostre mani la decisione di imparare a usarlo per diventare persone migliori e contribuire a migliorare la nostra società.
Author : JERRY. KAPLAN
Publisher : Oxford University Press
ISBN 13 : 0197773540
Total Pages : 241 pages
Book Rating : 4.1/5 (977 download)
Download or read book Generative Artificial Intelligence written by JERRY. KAPLAN and published by Oxford University Press. This book was released on 2024-02-19 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative Artificial Intelligence: What Everyone Needs to Know Â(R) equips readers with the knowledge to answer pressing questions about the impact of generative artificial intelligence on every facet of society.
Author : David Foster
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109813415X
Total Pages : 456 pages
Book Rating : 4.0/5 (981 download)
Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2022-06-28 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.
Author : Antonio Perfido
Publisher : FrancoAngeli
ISBN 13 : 8835165857
Total Pages : 198 pages
Book Rating : 4.8/5 (351 download)
Download or read book Convergent Marketing written by Antonio Perfido and published by FrancoAngeli. This book was released on 2024-06-21T00:00:00+02:00 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 100.944
Author : Ital Communications
Publisher : Over Edizioni
ISBN 13 :
Total Pages : 37 pages
Book Rating : 4.2/5 (83 download)
Download or read book Quarto rapporto Ital Communications - IISFA sull'intelligenza artificiale in Italia written by Ital Communications and published by Over Edizioni. This book was released on 2024-09-19T00:00:00+02:00 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: L’Intelligenza Artificiale è già ampiamente diffusa in diversi ambiti. Ma quali emozioni, quali reazioni suscita davvero negli italiani? La percezione immediata e spontanea oscilla in equilibrio tra ottimismo, oggettività e timore. In particolare: il 37% ha un'impressione positiva, un altro 37% mantiene una visione neutrale, mentre il 21% esprime paura e diffidenza. Le percezioni variano da concetti tecnologici e futuristici a preoccupazioni pratiche e apocalittiche.
Author : I. Almeida
Publisher : Now Next Later AI
ISBN 13 : 0645510564
Total Pages : 267 pages
Book Rating : 4.6/5 (455 download)
Download or read book Artificial Intelligence Fundamentals for Business Leaders written by I. Almeida and published by Now Next Later AI. This book was released on 2023-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2024 Edition. Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically. Book and Course Learning Rubric - Chapters 1-7: Understanding of AI [11%] —Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence. - Chapters 8-13: Understanding of Data and Data Management [11%] — Clear understanding of the significance of big data, and strategies for data management. - Chapters 14-29: Understanding of Machine Learning [30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project. - Chapters 30-35: Understanding of Deep Learning [9%] — Understanding of deep learning, its basics, and the structure and types of neural networks. - Chapters 36-40: Understanding of Model Selection and Evaluation [9%] — Ability to select and evaluate machine learning models and utilize them for decision-making. - Chapters 41-50: Understanding of Generative AI [15%] — Detailed understanding of generative AI, its value chain, models, prompt strategies, applications, opportunities, and governance challenges. Assignment: Practical Application [15%] — Ability to apply generative AI understanding to real-world business challenges, demonstrating critical thinking and strategic planning skills.
Author : Bonaventura Di Bello
Publisher :
ISBN 13 : 9788836015962
Total Pages : 0 pages
Book Rating : 4.0/5 (159 download)
Download or read book Intelligenza artificiale per la scuola. Un approccio umanistico all'uso didattico dell'IA generativa written by Bonaventura Di Bello and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joseph Babcock
Publisher :
ISBN 13 : 9781800200883
Total Pages : 488 pages
Book Rating : 4.2/5 (8 download)
Download or read book Generative AI with Python and TensorFlow 2 written by Joseph Babcock and published by . This book was released on 2021-04-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Packed with intriguing real-world projects as well as theory, Generative AI with Python and TensorFlow 2 enables you to leverage artificial intelligence creatively and generate human-like data in the form of speech, text, images, and music.
Author : Chris Fregly
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098159195
Total Pages : 312 pages
Book Rating : 4.0/5 (981 download)
Download or read book Generative AI on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2023-11-13 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock
Author : David E. Sweenor
Publisher : TinyTechMedia LLC
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.9/5 (893 download)
Download or read book Generative AI Business Applications written by David E. Sweenor and published by TinyTechMedia LLC. This book was released on 2024-01-31 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations? With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI. The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it's not the tech that's tiny, just the book!™
Author : Joseph Babcock
Publisher : Packt Publishing Ltd
ISBN 13 : 1800208502
Total Pages : 489 pages
Book Rating : 4.8/5 (2 download)
Download or read book Generative AI with Python and TensorFlow 2 written by Joseph Babcock and published by Packt Publishing Ltd. This book was released on 2021-04-30 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fun and exciting projects to learn what artificial minds can create Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook Description Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI? In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks. There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment. Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation. What you will learnExport the code from GitHub into Google Colab to see how everything works for yourselfCompose music using LSTM models, simple GANs, and MuseGANCreate deepfakes using facial landmarks, autoencoders, and pix2pix GANLearn how attention and transformers have changed NLPBuild several text generation pipelines based on LSTMs, BERT, and GPT-2Implement paired and unpaired style transfer with networks like StyleGANDiscover emerging applications of generative AI like folding proteins and creating videos from imagesWho this book is for This is a book for Python programmers who are keen to create and have some fun using generative models. To make the most out of this book, you should have a basic familiarity with math and statistics for machine learning.
