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.

Decoding Intelligence

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Author : Adam Taha
language : en
Publisher:
Release Date : 2023-05-25

Decoding Intelligence written by Adam Taha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-25 with categories.

"Decoding Intelligence: Generative AI and the Dawn of AGI" aims to demystify the vast field of artificial intelligence (AI) and explore its practical applications, focusing on Generative AI, and its societal implications. This guide underscores the importance of understanding and integrating AI in daily life, emphasizing the urgency to do so during these "Between Times", as described by Aja Agrawal, Joshua Gans, and Avi Goldfarb - a period of AI's initial introduction and gradual adoption. It explores the trajectory towards Artificial General Intelligence (AGI) and the societal implications of AI, especially on parenting and future generations. The ultimate message is that individuals must equip themselves with the knowledge and skills to harness AI's power efficiently, enhancing productivity and innovation while shaping the technology to align with our values and needs.

Decoding Gpt

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Author : Devesh Rajadhyax
language : en
Publisher: Storymirror Infotech Pvt. Limited
Release Date : 2024-02-03

Decoding Gpt written by Devesh Rajadhyax and has been published by Storymirror Infotech Pvt. Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-03 with Computers categories.

About the Book: In a world where Large Language Models (LLMs) like ChatGPT have ignited imaginations, individuals from all walks of life are eager to embrace the transformative potential of Generative AI. Whether you're a tech professional, decision-maker, an entrepreneur or a budding student, the pursuit of understanding this new paradigm is a shared endeavor. It's within this landscape that 'Decoding GPT: an Intuitive Introduction to LLMs' emerges as your essential guide. Now, as the author of "Decoding GPT," Devesh Rajadhyax invites you to join him on a journey into the heart of LLMs. This book starts with the fundamentals of machine learning and neural networks and then dives into the inner workings of Large Language Models, all while keeping complex math and programming at bay. Instead, it employs clear diagrams and relatable examples to foster a deep understanding. If your aim is to thrive in the world of generative AI, 'Decoding GPT' is your passport to a brighter future in this exciting field. About the Author: Devesh Rajadhyax is an entrepreneur and visionary communicator, whose life has been an unfolding journey of scientific curiosity and technological innovation. With a scientific curiosity that has defined him since childhood, Devesh has immersed himself in the ever-evolving realm of technology, leaving an indelible mark on the AI landscape through his brainchild, Cere Labs. Devesh's journey is marked by an unwavering passion for technology that goes beyond the ordinary. He's not just a leader; he's a visionary who shapes the very course of innovation at Cere Labs. Beyond the boardroom, Devesh is a gifted writer, known for his insightful science and technology blogs and articles. His blog, "Yours Sciencely," served as a welcoming space for those interested in delving into intricate scientific ideas presented in clear and eloquent language. His contributions to publications like "Towards Data Science" have been celebrated, demonstrating his prowess in translating complex ideas for a wider audience. Devesh's influence extends to the academic world, where he has served on the Board of Studies for prestigious engineering colleges and universities. His warm rapport with professors and students in the technical realm, particularly computer engineering, has made him a respected figure in industry-academia interaction.

Generative Ai On Aws

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Author : Chris Fregly
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-11-13

Generative Ai On Aws written by Chris Fregly and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with categories.

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

Generative Ai With Python And Tensorflow 2

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Author : Joseph Babcock
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-04-30

Generative Ai With Python And Tensorflow 2 written by Joseph Babcock 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 2021-04-30 with Computers categories.

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.

Applications Of Generative Ai

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Author : Zhihan Lyu
language : en
Publisher: Springer Nature
Release Date :

Applications Of Generative Ai written by Zhihan Lyu 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.

Decoding Chatgpt And Artificial Intelligence

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Author : Jagdish Krishanlal Arora
language : en
Publisher:
Release Date : 2023-12-06

Decoding Chatgpt And Artificial Intelligence written by Jagdish Krishanlal Arora and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-06 with Computers categories.

I am writing on how CHATGPT operates and works and thought of converting it into a book. Have also included some programming code, the book contains lot of content for present and for making future AI models. I left coding long back but hope the coding provided in this book it helps everyone to design their own AI models. The book has been kept finite as always there is no end to what one can write on this huge topic. I only know all the programming languages and technologies in brief, and I am not an expert in them. Here is a brief 'Decoding ChatGPT and artificial intelligence involves unraveling the intricacies of an advanced language model like ChatGPT, developed by OpenAI. Operating on the GPT-3.5 architecture, ChatGPT is a powerful tool designed for natural language understanding and generation. Its capabilities stem from extensive training on diverse datasets, enabling it to comprehend and generate coherent responses across a wide array of topics. However, the underlying challenge lies in understanding the model's limitations, potential biases, and the ethical considerations associated with its deployment. As artificial intelligence continues to evolve, decoding ChatGPT requires a nuanced examination of its training data, the algorithms governing its responses, and the ongoing efforts to strike a balance between technological advancement and responsible usage, emphasizing the critical role of ethical frameworks in guiding the development and deployment of AI systems.'

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.

Decoding Cultural Heritage

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Author : Fernando Moral-Andrés
language : en
Publisher: Springer
Release Date : 2024-09-10

Decoding Cultural Heritage written by Fernando Moral-Andrés and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-10 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 Deep Learning

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Author : David Foster
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-06-28

Generative Deep Learning written by David Foster and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN