Ai Foundations Of Large Language Models
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Ai Foundations Of Large Language Models
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Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :
Ai Foundations Of Large Language Models 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 fascinating world of artificial intelligence with Jon Adams' groundbreaking book, AI Foundations of Large Language Models. This comprehensive guide serves as a beacon for both beginners and enthusiasts eager to understand the intricate mechanisms behind the digital forces shaping our future. With Adams' expert narration, readers are invited to explore the evolution of language models that have transformed mere strings of code into entities capable of human-like text generation. Key Features: In-depth Exploration: From the initial emergence to the sophisticated development of Large Language Models (LLMs), this book covers it all. Technical Insights: Understand the foundational technology, including neural networks, transformers, and attention mechanisms, that powers LLMs. Practical Applications: Discover how LLMs are being utilized in industry and research, paving the way for future innovations. Ethical Considerations: Engage with the critical discussions surrounding the ethics of LLM development and deployment. Chapters Include: The Emergence of Language Models: An introduction to the genesis of LLMs and their significance. Foundations of Neural Networks: Delve into the neural underpinnings that make it all possible. Transformers and Attention Mechanisms: Unpack the mechanisms that enhance LLM efficiency and accuracy. Training Large Language Models: A guide through the complexities of LLM training processes. Understanding LLMs Text Generation: Insights into how LLMs generate text that rivals human writing. Natural Language Understanding: Explore the advancements in LLMs' comprehension capabilities. Ethics and LLMs: A critical look at the ethical landscape of LLM technology. LLMs in Industry and Research: Real-world applications and the impact of LLMs across various sectors. The Future of Large Language Models: Speculations and predictions on the trajectory of LLM advancements. Whether you're a student, professional, or simply an AI enthusiast, AI Foundations of Large Language Models by Jon Adams offers a riveting narrative filled with insights and foresights. Equip yourself with the knowledge to navigate the burgeoning world of LLMs and appreciate their potential to redefine our technological landscape. Join us on this enlightening journey through the annals of artificial intelligence, where the future of digital communication and creativity awaits.
Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges
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Author : Ilaria Tiddi
language : en
Publisher:
Release Date : 2020
Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges written by Ilaria Tiddi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.
Deep Learning For Coders With Fastai And Pytorch
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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
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 Foundations Developments And Applications
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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.
Foundation Models For Natural Language Processing
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Author : Gerhard Paaß
language : en
Publisher: Springer Nature
Release Date : 2023-05-23
Foundation Models For Natural Language Processing written by Gerhard Paaß and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Computers categories.
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
Ai Fundamentals Building Technical Knowledge From The Ground Up
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Author : Alan Knox
language : en
Publisher: Alan Knox
Release Date : 2025-07-11
Ai Fundamentals Building Technical Knowledge From The Ground Up written by Alan Knox and has been published by Alan Knox this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.
Stop being intimidated by AI. Start understanding it. Artificial intelligence is transforming every industry, but you don't need a computer science degree to understand how it works. This book bridges the gap between AI hype and practical knowledge, giving business professionals the technical literacy to navigate the AI revolution confidently. What You'll Learn · How AI systems actually work, from algorithms to large language models · When and why to use different AI approaches for real problems · Practical implementation strategies, from data collection to deployment · Responsible AI development and ethical considerations · How to evaluate AI opportunities and manage AI projects successfully Perfect For Business executives, project managers, consultants, product managers, and entrepreneurs who need to make informed decisions about AI strategy and implementation. Your Competitive Advantage The most sophisticated AI in the world is worthless if you can't evaluate it, implement it, or use it effectively. This book provides the foundation for turning AI capabilities into business value. No technical background required. Just curiosity and willingness to learn.
Global Trends In Manufacturing Supply Chains
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Author : Jing Wu
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Global Trends In Manufacturing Supply Chains written by Jing Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Business & Economics categories.
This book offers an in-depth and comprehensive analysis of global supply chains through the dual dimensions of time and region, which include their origins, current challenges, and future trajectories. It highlights the impact of natural disasters and geopolitical risks, illustrating how these factors underscore the vulnerabilities and dependencies within supply chain networks. The focus on China's role in global supply chains is particularly relevant, given the country's significant impact on global trade, manufacturing, and economic health. Additionally, by offering concrete case studies and detailed discussions on the overseas expansion of Chinese companies, the book serves as a valuable resource for understanding their strategies, the challenges they face, and the impacts of their global activities on both their home economy and the global economic landscape. The book's unique approach combines rigorous analysis with practical advice, making it an indispensable resource for anyone looking to understand and respond to the evolving dynamics of global supply chains.
Ai Basics For Fiction Authors
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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.
Leveraging Applications Of Formal Methods Verification And Validation Application Areas
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Author : Tiziana Margaria
language : en
Publisher: Springer Nature
Release Date : 2024-10-25
Leveraging Applications Of Formal Methods Verification And Validation Application Areas written by Tiziana Margaria and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Computers categories.
The ISoLA 2024 proceedings constitutes contributions of the associated events held at the 12th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2024, which took place in Crete, Greece, in October 2024. ISoLA 2024 provides a forum for developers, users, and researchers to discuss issues related to the adoption and use of rigorous tools and methods for the specification, analysis, verification, certification, construction, test, and maintenance of systems from the point of view of their different application domains.