Decoding Generative Ai

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Decoding Generative Ai

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Author : Farabi Shayor
language : en
Publisher: IntelX Publishing
Release Date : 2024-04-16

Decoding Generative Ai written by Farabi Shayor and has been published by IntelX Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-16 with Political Science categories.

The emergence of Generative AI has marked a significant turning point, heralding a new age of innovation and intellectual exploration. Much like a compelling narrative, this advancement in artificial intelligence has captivated the global community and ushered in an unprecedented surge of innovation. For many years, the subtle hum of AI has been interconnected into the fabric of our society. Devices such as Echo (Alexa) and Google Home, once considered avant-garde, are now seamlessly integrated into our homes and vehicles, becoming essential navigators in our daily journeys. However, this new phase of AI evolution is distinct. Capable of enhanced ability, these new generative AI systems could easily discern the intuitive needs of their end-users. With a mere command or a simple image, generative AI systems can draft comprehensive reports, write legal documents, or produce intricate visual masterpieces. Their proficiency can also be extended to routine and mundane tasks, smoothly managing administrative duties, writing correspondences, and providing invaluable support in professional settings. Although these foundation models require a vast amount of training data and billions of parameters to be effective, the outcomes are equally remarkable. Technology companies and investors, recognising the potential, embarked on an investment spree; steering a new era for the development of specialised models such as Microsoft CoPilot, Midjourney, ChatGPT, and so on. As these technology companies continue to improve their language models, each version seems to be more refined than its predecessor. Foremost among these are the Large Language Models (LLMs), emblematic of this AI renaissance. Now, with voice-activated capabilities, generative AIs have become capable of much more in the relatively short span of their existence. With the integration of voice-activated features, combined with their capabilities to speak like a human being, their potential continues to grow exponentially. They aren’t labelled as ‘chatbots’ anymore – these AI systems signify a technological paradigm shift, reshaping humanity’s understanding of technology, automation, and creative expression. However, with such shift comes the imperative need for governance and control. The unchecked expansion of AI poses unmitigated challenges. In reality, these advanced AIs have the potential to be transformative and destructive parallelly. Thus, it is necessary to establish guidelines and oversight to ensure the ethical deployment of such systems which this book focuses on. As society stands at this transformative crossroads, parallels are being drawn to the imaginative world of fiction. The concept of ‘Jarvis’ AI from the fictitious world appears provocatively close to becoming a reality. The epoch of generative AI has truly dawned, promising a future where technological prowess and human aspiration unite.

Generative Ai Current Trends And Applications

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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2024-12-09

Generative Ai Current Trends And Applications written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-09 with Computers categories.

This comprehensive volume focuses on the latest advancements in Generative AI, including state-of-the-art techniques and models that are pushing the boundaries of what is possible. It covers recent developments in areas such as Generative AI models, transfer learning and Natural Language Processing (NLP) highlighting their potential to revolutionize content generation and creative applications including OpenAI, LangChain, NLTK and their practical implementations across diverse domains. The volume provides insights into emerging research areas, novel architectures, and innovative approaches in Generative AI, giving searchers a glimpse into the exciting future of the field. The aim is to offer readers a deep understanding of Generative AI and how it can be harnessed to tackle complex real-world challenges.

Learn Generative Ai With Pytorch

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Author : Mark Liu
language : en
Publisher: Simon and Schuster
Release Date : 2025-01-28

Learn Generative Ai With Pytorch written by Mark Liu and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-28 with Computers categories.

Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music. Learn Generative AI with PyTorch teaches the underlying mechanics of generative AI by building working AI models from scratch. Throughout, you’ll use the intuitive PyTorch framework that’s instantly familiar to anyone who’s worked with Python data tools. Along the way, you’ll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more! In Learn Generative AI with PyTorch you’ll build these amazing models: • A simple English-to-French translator • A text-generating model as powerful as GPT-2 • A diffusion model that produces realistic flower images • Music generators using GANs and Transformers • An image style transfer model • A zero-shot know-it-all agent The generative AI projects you create use the same underlying techniques and technologies as full-scale models like GPT-4 and Stable Diffusion. You don’t need to be a machine learning expert—you can get started with just some basic Python programming skills. About the technology Transformers, Generative Adversarial Networks (GANs), diffusion models, LLMs, and other powerful deep learning patterns have radically changed the way we manipulate text, images, and sound. Generative AI may seem like magic at first, but with a little Python, the PyTorch framework, and some practice, you can build interesting and useful models that will train and run on your laptop. This book shows you how. About the book Learn Generative AI with PyTorch introduces the underlying mechanics of generative AI by helping you build your own working AI models. You’ll begin by creating simple images using a GAN, and then progress to writing a language translation transformer line-by-line. As you work through the fun and fascinating projects, you’ll train models to create anime images, write like Hemingway, make music like Mozart, and more. You just need Python and a few machine learning basics to get started. You’ll learn the rest as you go! What's inside • Build an English-to-French translator • Create a text-generation LLM • Train a diffusion model to produce high-resolution images • Music generators using GANs and Transformers About the reader Examples use simple Python. No deep learning experience required. About the author Mark Liu is the founding director of the Master of Science in Finance program at the University of Kentucky. The technical editor on this book was Emmanuel Maggiori.

Decoding Ai Separating Fact From Fiction In Artificial Intelligence Capabilities

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Author : Royal Salas
language : en
Publisher: Lena Whitmore
Release Date : 2025-04-28

Decoding Ai Separating Fact From Fiction In Artificial Intelligence Capabilities written by Royal Salas and has been published by Lena Whitmore this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.

Unlock the mysteries of Artificial Intelligence (AI) with "Decoding AI: Separating Fact from Fiction in Artificial Intelligence Capabilities." This comprehensive guide empowers you to navigate the complexities of AI, demystifying its capabilities and limitations. The book unravels the core concepts of AI, from machine learning to deep learning, making it accessible to anyone seeking a deeper understanding of this transformative technology. It debunks common misconceptions and exposes the hype surrounding AI, providing a balanced perspective on its potential impact. Delving into real-world applications, "Decoding AI" explores how AI is shaping industries such as healthcare, finance, and manufacturing. It examines the ethical implications of AI, addressing concerns about job displacement and bias. Through thought-provoking discussions and expert insights, the book empowers readers to make informed decisions about the role of AI in their lives and society.

The Future Of Cloud Integrating Ai Ml And Generative Ai For Scalable Solutions

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Author : Chandrakanth Rao Madhavaram
language : en
Publisher: JEC PUBLICATION
Release Date :

The Future Of Cloud Integrating Ai Ml And Generative Ai For Scalable Solutions written by Chandrakanth Rao Madhavaram and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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Decoding Cultural Heritage

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Author : Fernando Moral-Andrés
language : en
Publisher: Springer Nature
Release Date : 2024-07-01

Decoding Cultural Heritage written by Fernando Moral-Andrés and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-01 with Computers categories.

This book provides readers with an overview of the use of digital techniques for cultural heritage preservation. Those include image processing, advanced sensing, geomatics or virtual and augmented reality. The use of newer tools such as generative artificial intelligence for images and 3D or advanced natural language processing systems is also considered. The ultimate goal is to provide readers with a global perspective of the state of the art on the use of digital tools for cultural heritage applications, both for researchers and professionals involved in cultural heritage and for computer scientists and engineers that design and develop technologies that can be used for cultural heritage preservation.

Generative Ai Foundations In Python

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Author : Carlos Rodriguez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-26

Generative Ai Foundations In Python written by Carlos Rodriguez 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 2024-07-26 with Computers categories.

Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation Use transformers-based LLMs and diffusion models to implement AI applications Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application. Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs. By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.What you will learn Discover the fundamentals of GenAI and its foundations in NLP Dissect foundational generative architectures including GANs, transformers, and diffusion models Find out how to fine-tune LLMs for specific NLP tasks Understand transfer learning and fine-tuning to facilitate domain adaptation, including fields such as finance Explore prompt engineering, including in-context learning, templatization, and rationalization through chain-of-thought and RAG Implement responsible practices with generative LLMs to minimize bias, toxicity, and other harmful outputs Who this book is for This book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.

Generative Ai For Brain Imaging And Brain Network Construction

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Author : Shuqiang Wang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-10-05

Generative Ai For Brain Imaging And Brain Network Construction written by Shuqiang Wang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-05 with Science categories.

Generative Ai Essentials

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Author : Dr. Priyanka Singh
language : en
Publisher: BPB Publications
Release Date : 2025-01-07

Generative Ai Essentials written by Dr. Priyanka Singh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.

DESCRIPTION Generative AI is changing the way we think about creativity and problem-solving. This book is your go-to guide for understanding and working with this exciting technology. This book offers a clear introduction to generative AI, starting with basics like machine learning and deep learning. It explains key models, including GANs and VAEs, breaking down their architectures and training methods. You will discover how Transformer models like GPT have transformed natural language processing and enabled advancements in language generation. The book explores practical applications such as image synthesis, style transfer, and text generation, showing how generative AI merges technology with creativity. Advanced topics like reinforcement learning, AI ethics, and bias are also covered. Practical tips for creating your own generative AI models, along with insights into the future of this groundbreaking field, making it an essential resource for AI enthusiasts and professionals. By the end of this book, you will have a firm grasp of generative AI concepts and practical skills to get you started. You will be well-prepared to use cloud platforms like AWS, Azure, and GCP to build and launch powerful generative AI projects. From creating realistic images to crafting natural text, you will explore hands-on examples while tackling important ethical questions. This book gives you the skills and confidence to explore the limitless potential of generative AI. KEY FEATURES ● Learn GANs, VAEs, and Transformers with real-world applications. ● Build scalable generative AI models using AWS, Azure, and GCP. ● Explore ethical AI, creative projects, and future trends in technology. WHAT YOU WILL LEARN ● Build foundational knowledge of generative AI principles and models. ● Apply machine learning and deep learning for creative content generation. ● Leverage GANs, VAEs, and Transformer models in real-world scenarios. ● Master cloud tools for scalable generative AI development. ● Address ethical challenges and implement responsible AI practices. ● Explore advanced applications and future directions of generative AI WHO THIS BOOK IS FOR This book is designed for data scientists, machine learning engineers, software developers, cloud professionals, educators, students, and creative professionals. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Generative Adversarial Networks 3. Variational Autoencoders 4. Transformer Models and Language Generation 5. Image Generation and Style Transfer 6. Text Generation and Language Models with Real-time Examples 7. Generative AI in Art and Creativity 8. Exploring Advanced Concepts 9. Future Direction and Challenges 10. Building Your Own-Generative AI Models 11. Conclusion and Outlook Appendices

A Beginner S Guide To Generative Ai

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Author : Deepshikha Bhati
language : en
Publisher: Springer Nature
Release Date : 2025-08-22

A Beginner S Guide To Generative Ai written by Deepshikha Bhati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Computers categories.

This book is the essential guide for anyone curious about AI’s creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformative technologies of our time. Designed for beginners and requiring no prior knowledge of AI, this book breaks down the fundamentals of generative AI, from text and image generation to the workings of models like ChatGPT and Google Bard. The authors provide step-by-step coverage of the essential concepts and techniques that power generative AI. From the basics of how machines learn to generate text and images, to the intricate workings of models like Transformers, ChatGPT, and Google Bard, readers will gain a solid foundation in AI's most cutting-edge tools. Rather than focusing on a single method, the authors introduce a spectrum of generative modeling techniques, including diffusion models, variational autoencoders, and transformers. This comprehensive exposure ensures readers will be well-prepared to understand and adapt to the rapidly evolving AI landscape. In addition, real-world applications of generative AI across various industries are explored including healthcare innovations, business analytics, and legal technology, and the authors provide practical insights and examples that show how generative AI is revolutionizing these fields.