Ai Foundations Of Gpt
DOWNLOAD
Download Ai Foundations Of Gpt PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai Foundations Of Gpt book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Ai Foundations Of Gpt
DOWNLOAD
Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :
Ai Foundations Of Gpt written by Jon Adams and has been published by Green Mountain Computing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dive into the heart of artificial intelligence with "AI Foundations of GPT," a groundbreaking book that charts the journey of Generative Pre-trained Transformers (GPT) from their conceptual inception to their role as cornerstones of modern AI applications. This meticulously crafted text serves as both a historical narrative and a forward-looking discussion, exploring the myriad ways in which GPT technology is reshaping our digital landscape. Key Features: Comprehensive Coverage: From the AI revolution to the future of GPT, each chapter is dedicated to a different facet of GPT technology, ensuring readers gain a well-rounded understanding of its complexities and capabilities. Accessible Explanations: Designed to cater to both AI aficionados and newcomers, the book explains the technical underpinnings of GPT models in an engaging and understandable manner. Future-Oriented: Offers a peek into the potential advancements and challenges that lie ahead for GPT technology, encouraging readers to ponder its implications for society and industry. Chapters: The AI Revolution: An overview of how artificial intelligence has evolved, setting the stage for the emergence of GPT. Understanding GPT: Breaks down the basics of Generative Pre-trained Transformers, explaining what they are and why they matter. The Mechanics of GPT: Delves into the technical aspects of how GPT models work, from algorithms to neural networks. Training GPT Models: Discusses the process of training GPT models, highlighting the resources and methodologies involved. Applications of GPT: Explores the diverse applications of GPT in various fields such as literature, customer service, and software development. Ethical Considerations: Examines the ethical dilemmas and considerations surrounding the use of GPT technology. The Business of GPT: Analyzes the economic landscape of GPT, including its impact on industries and business models. Limitations and Challenges: Acknowledges the limitations of current GPT models and the challenges facing their development. The Future of GPT: Speculates on the future advancements of GPT technology and its potential societal impacts. Whether you're deeply embedded in the world of AI or simply curious about the technologies shaping our future, "AI Foundations of GPT" offers a rich, insightful exploration of one of the most significant developments in artificial intelligence. Embark on this journey to understand not just the mechanics of GPT, but its profound implications on our world.
Ai Foundations Of Generative Ai
DOWNLOAD
Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :
Ai Foundations Of Generative Ai written by Jon Adams and has been published by Green Mountain Computing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dive into the captivating world of Generative AI with "AI Foundations of Generative AI," a groundbreaking exploration at the crossroads of creativity and technology. This enlightening book serves as your comprehensive guide through the burgeoning field of Generative AI, where machines wield the power of creativity to produce art, music, literature, and more. Authored by leading experts in the field, this book demystifies the complex algorithms behind AI's ability to emulate human creativity, offering readers a front-row seat to the future of digital innovation. Key Features: Engaging Content: Written in an accessible style, free from daunting jargon, making complex concepts approachable for all readers. Interactive Exercises: Hands-on activities to deepen understanding of AI principles. Ethical Considerations: Insightful discussions on the moral implications of virtual influencers, deepfakes, and AI-driven creativity. Chapters Overview: The Digital Composer: Uncover how AI creates symphonies that challenge the works of great composers. Artistic Algorithms: Explore the systems generating visual art indistinguishable from human-created pieces. Wordsmiths of the Digital Age: Delve into how AI crafts poetry and prose with the finesse of human writers. Synthesized Realities: Navigate the creation of hyper-realistic images, videos, and sounds through AI. Virtual Influencers and Moral Codes: Examine the ethical dimensions of AI-driven personalities and content. Data Driven Storytelling: Understand how AI transforms data into compelling narratives and interactive experiences. Chat GPT and Open AI: Gain insights into the organizations and technologies at the forefront of generative AI. Content Tailored by Technology: Discover the future of personalized media and digital environments shaped by AI. Perfect for tech enthusiasts, creative professionals, and anyone curious about the intersection of art and artificial intelligence, "AI Foundations of Generative AI" offers a unique lens through which to view the future of creativity and technology. Whether you're a tech-savvy reader or new to the world of AI, this book promises to enlighten and inspire with its vision of a world where creativity knows no bounds. Embark on a Journey of Discovery: Prepare to be both enlightened and inspired as you explore the limitless possibilities of Generative AI. "AI Foundations of Generative AI" is your ticket to understanding and participating in the future of creative technology.
Generative Ai Foundations Developments And Applications
DOWNLOAD
Author : Kannan, Rajkumar
language : en
Publisher: IGI Global
Release Date : 2025-03-26
Generative Ai Foundations Developments And Applications written by Kannan, Rajkumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
In recent years, the field of generative artificial intelligence (AI) has witnessed remarkable advancements, transforming various domains from art and music to language and healthcare. Advanced techniques, such as conditional generation, style transfer, and unsupervised learning, showcase the cutting-edge research shaping the field. The ability of generative AI models to create novel content autonomously has sparked immense interest and innovation. Future directions provide speculations for potential breakthroughs, challenges, and opportunities for further research and innovation. Generative AI Foundations, Developments, and Applications serves as a resource to understanding generative AI across various domains including natural language processing, computer vision, and drug discovery. It explores the theoretical foundations, latest developments, and practical applications of generative AI. Covering topics such as prompt engineering, multimodal data fusion, and natural language processing, this book is an excellent resource for computer scientists, computer engineers, practitioners, professionals, researchers, scholars, academicians, and more.
Generative Ai Foundations In Python
DOWNLOAD
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.
Artificial Intelligence With Python
DOWNLOAD
Author : Prateek Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-27
Artificial Intelligence With Python written by Prateek Joshi 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 2017-01-27 with Computers categories.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Deep Learning For Coders With Fastai And Pytorch
DOWNLOAD
Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
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
Ai Fundamentals Courseware
DOWNLOAD
Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2023-09-26
Ai Fundamentals Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Architecture categories.
The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as “Where does Data Management end and AI application begin?” from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it’s three-day combined program. It’s also possible to cut the material in pieces for a module teaching approach. The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Ai Fundamentals Explained
DOWNLOAD
Author : Brian Mackay
language : en
Publisher: Brian Mackay
Release Date : 2024-08-14
Ai Fundamentals Explained written by Brian Mackay and has been published by Brian Mackay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Computers categories.
Welcome to my new book called AI Fundamentals Explained. My name is Brian Mackay and I have worked in the IT industry since 1997 when I started at BT Internet helpdesk in my home town of Thurso, in the county of Caithness on the north coast of Scotland. I then went on to work at BT Global Services, Nildram in Buckinghamshire, England, then I moved to Edinburgh, Scotland where I worked for Scottish and Newcastle UK the Heineken UK, NHS Quality Improvement Scotland, NHS Lothian, Bodycote Plc and BSKYB service desk. I passed my Masters in Cybersecurity from Edinburgh Napier University in 2019 and now work as a Cybersecurity consultant for The Scotcoin Project CIC. This book starts off by looking at the early days of AI and machine learning and moves on to the various types of AI today such as, what are LLM's, what is ethical AI, AI legislation, Chat GPT and what is Generative AI, how AI will benefit and be a challenge to the cybersecurity industry, then finally looks at the potential future of AI such as quantum AI.
Ai Basics For Fiction Authors
DOWNLOAD
Author : Pajonas Steph
language : en
Publisher: Future Fiction Press LLC
Release Date : 2024-12-02
Ai Basics For Fiction Authors written by Pajonas Steph and has been published by Future Fiction Press LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Language Arts & Disciplines categories.
Step into the future of storytelling with AI Basics for Fiction Authors, the ultimate guide to integrating artificial intelligence into your writing process. Whether you're a seasoned author or just starting out, this book provides the knowledge and tools you need to enhance your creativity, streamline your workflow, and produce high-quality content with ease. Inside, you'll discover: • Comprehensive AI Insights: Learn the essentials of large language models, prompt engineering, and context windows to unlock new creative possibilities. • Customized AI Strategies: Find personalized AI tool plans tailored to your writing style, whether you're a meticulous plotter or an adventurous pantser. • Effective Applications: Master the art of writing blurbs, social media posts, and crafting immersive worlds and characters with AI's assistance. • Navigating Ethical Terrain: Understand the ethical considerations and content policies that guide responsible AI use, ensuring your work remains authentic and respectful. • Exploring Unfiltered Models: Access open-source models for generating NSFW content, providing the flexibility to tackle mature themes without limitations. AI Basics for Fiction Authors is your gateway to a new era of writing, offering practical advice, expert tips, and real-world examples to help you integrate AI seamlessly into your creative process. Embrace the transformative power of AI and take your fiction writing to new heights with this indispensable guide.
Azure Ai Fundamentals Ai 900 Study Guide
DOWNLOAD
Author : Tom Taulli
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-05-06
Azure Ai Fundamentals Ai 900 Study Guide written by Tom Taulli 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 2025-05-06 with Computers categories.
Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field. Packed with clear explanations, real-world examples, exam tips, and practice questions, this comprehensive handbook is your go-to resource for mastering the Azure AI platform and advancing your career. You'll explore key exam topics, including machine learning, computer vision, and generative AI, while gaining practical insights into leveraging Azure's powerful AI tools.