Engineering Large Language Models A Practical Guide From Design To Deployment
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Engineering Large Language Models A Practical Guide From Design To Deployment
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Author : Sanford Edwards
language : en
Publisher: David Merrick
Release Date :
Engineering Large Language Models A Practical Guide From Design To Deployment written by Sanford Edwards and has been published by David Merrick this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Discover the world of large language models with this comprehensive guide, designed to take you from the initial design stages to the final deployment. This book provides a practical approach to understanding the complexities and intricacies involved in engineering these powerful AI systems. Whether you are a seasoned professional or a curious beginner, this guide offers valuable insights and hands-on knowledge to help you navigate the challenges and opportunities in this cutting-edge field. The book begins by exploring the foundational concepts and principles that underpin large language models. You will learn about the different architectures, algorithms, and techniques used to create these models, as well as the various tools and frameworks available to support your work. Each chapter builds on the previous one, providing a structured and cohesive learning experience that ensures you gain a deep understanding of the subject matter. As you progress through the book, you will encounter real-world examples and case studies that illustrate the practical applications of large language models. These examples cover a wide range of industries and use cases, from natural language processing and sentiment analysis to machine translation and text generation.
A Practical Guide To Generative Ai Using Amazon Bedrock
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Author : Avik Bhattacharjee
language : en
Publisher: Springer Nature
Release Date : 2025-07-08
A Practical Guide To Generative Ai Using Amazon Bedrock written by Avik Bhattacharjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.
This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications. The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations. The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization. What You Will Learn Understand the fundamentals of Generative AI and Amazon Bedrock Build Responsible Generative AI applications leveraging Amazon Bedrock Know techniques and best practices See real-world applications Integrate and manage platforms Handle securty and governance issues Evaluate and optimze models Gain future-ready insights Understand the project life cycle when building Generative AI Applications Who This Book Is For Data scientistys, AI/ML engineers and architects, software developers plus AI enthusiasts and studenta and educators, and leaders who want to evangelize within organizatios
Applied Gpt 4 Systems
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-28
Applied Gpt 4 Systems written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.
"Applied GPT-4 Systems" "Applied GPT-4 Systems" offers a comprehensive, expert-level exploration of building, deploying, and optimizing state-of-the-art generative AI using the transformative capabilities of GPT-4. It begins with a detailed breakdown of the model’s architecture, tracing the evolution of transformer models to the innovations and emergent behaviors unique to large language models at scale. Insights into parameter efficiency, advanced training techniques, and management of extensive context windows underscore the technical rigor and depth of coverage, ensuring readers develop a robust understanding of the foundation of GPT-4 systems. The book systematically advances through the essential elements of training and customizing GPT-4, delving into massive data acquisition, efficient distributed training, and the complex pipelines that enable real-world, mission-critical deployments. Readers will learn advanced strategies for model finetuning, domain specialization, and continual learning, while also mastering the intricacies of scalable infrastructure, performance optimization, and cost management required for enterprise-grade AI solutions. Each chapter is buttressed by real-world best practices for security, privacy, compliance, and robust model evaluation, equipping practitioners to build systems that are not only powerful, but also trustworthy and reliable. Finally, "Applied GPT-4 Systems" explores the cutting edge of AI application, from orchestrating conversational agents and multi-modal systems to embedding generative models in highly personalized, context-aware workflows and autonomous digital agents. With a forward-looking perspective on scaling, federated learning, explainable AI, and emerging research frontiers, this volume serves as both a technical reference and a strategic roadmap for professionals, researchers, and architects shaping the next generation of applied artificial intelligence with GPT-4.
Advancing Software Engineering Through Ai Federated Learning And Large Language Models
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Author : Sharma, Avinash Kumar
language : en
Publisher: IGI Global
Release Date : 2024-05-02
Advancing Software Engineering Through Ai Federated Learning And Large Language Models written by Sharma, Avinash Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.
Lora Techniques For Large Language Model Adaptation
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-13
Lora Techniques For Large Language Model Adaptation written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Computers categories.
"LoRA Techniques for Large Language Model Adaptation" "LoRA Techniques for Large Language Model Adaptation" offers a comprehensive deep dive into the principles, mechanics, and practicalities of adapting large language models (LLMs) using Low-Rank Adaptation (LoRA). Beginning with an insightful overview of the evolution and scaling of LLMs, the book systematically addresses the challenges inherent in adapting foundation models, highlighting why traditional fine-tuning methods often fall short in efficiency and scalability. Drawing on real-world use cases and the burgeoning adoption of LoRA across both research and industry, it situates readers at the cutting edge of parameter-efficient fine-tuning techniques. The work stands out for its rigorous treatment of the mathematical and engineering foundations underpinning LoRA. Through detailed explorations of low-rank matrix decomposition, formal parameter mappings, and empirical strategies for rank selection, readers gain a robust understanding of both the theoretical expressivity and practical impact of LoRA compared to other adaptation techniques. The text moves beyond the abstract, offering actionable guidance for integrating LoRA into modern transformer architectures, optimizing training for scalability and resource constraints, and leveraging composable and hybrid approaches to meet diverse adaptation goals. Bridging theory and application, the book culminates in advanced chapters on operationalizing LoRA in real-world settings, evaluating adaptation effectiveness, and innovating for next-generation language models. It presents a rich collection of strategies for serving LoRA-augmented models in production, maintaining long-term adaptability, and meeting the needs of privacy-conscious environments. Through tutorials, case studies, and a survey of open-source tools, "LoRA Techniques for Large Language Model Adaptation" provides a definitive resource for machine learning practitioners, researchers, and engineers seeking to master the art and science of efficient large model adaptation.
Java Fundamentals Made Easy A Practical Guide With Examples
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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-03-22
Java Fundamentals Made Easy A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Computers categories.
This book provides a comprehensive introduction to Java programming, covering everything from the establishment of the development environment to the utilization of advanced language features. It is designed with clarity and technical precision, guiding readers through the foundational syntax and structure of Java, and offering detailed insights into variables, control structures, object-oriented programming, and exception handling. The text is organized into well-defined sections that progressively build a complete picture of Java programming. Readers are introduced to essential concepts in a structured manner, ensuring that each topic is thoroughly explained with practical examples and exercises. In addition, advanced chapters discuss topics such as lambda expressions, the Streams API, and concurrent programming, allowing learners to develop more sophisticated skills as they progress. Targeted at beginners and those with some technical background, this book serves as a practical guide to mastering Java. It provides clear explanations and hands-on examples to enable effective learning and application of programming principles. The material is designed to empower readers to confidently design, implement, and maintain Java applications in a professional and efficient manner.
Large Language Models Via Rust
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Author : Jaisy Malikulmulki Arasy
language : en
Publisher: RantAI
Release Date : 2025-01-07
Large Language Models Via Rust written by Jaisy Malikulmulki Arasy and has been published by RantAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
"LMVR - Large Language Models via Rust" is a pioneering open-source project that bridges the power of foundational models with the robustness of the Rust programming language. It highlights Rust's strengths in performance, safety, and concurrency while advancing the state-of-the-art in AI. Tailored for students, researchers, and professionals, LMVR delivers a comprehensive guide to building scalable, efficient, and secure large language models. By leveraging Rust, this book ensures that cutting-edge research and practical solutions go hand-in-hand. Readers will gain in-depth knowledge of model architectures, training methodologies, and real-world deployments, all while mastering Rust's unique capabilities for AI development.
Proceedings Of The International Conference On Ai Research
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Author : Carlos Goncalves
language : en
Publisher: Academic Conferences and publishing limited
Release Date :
Proceedings Of The International Conference On Ai Research written by Carlos Goncalves and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
The Ai Revolution In Customer Service And Support
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Author : Ross Smith
language : en
Publisher: Pearson Education
Release Date : 2024-07-16
The Ai Revolution In Customer Service And Support written by Ross Smith and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Business & Economics categories.
In the rapidly evolving AI landscape, customer service and support professionals find themselves in a prime position to take advantage of this innovative technology to drive customer success. The AI Revolution in Customer Service and Support is a practical guide for professionals who want to harness the power of generative AI within their organizations to create more powerful customer and employee experiences. This book is designed to equip you with the knowledge and confidence to embrace the AI revolution and integrate the technology, such as large language models (LLMs), machine learning, predictive analytics, and gamified learning, into the customer experience. Start your journey toward leveraging this technology effectively to optimize organizational productivity. A portion of the book’s proceeds will be donated to the nonprofit Future World Alliance, dedicated to K-12 AI ethics education. IN THIS BOOK YOU’LL LEARN About AI, machine learning, and data science How to develop an AI vision for your organization How and where to incorporate AI technology in your customer experience fl ow About new roles and responsibilities for your organization How to improve customer experience while optimizing productivity How to implement responsible AI practices How to strengthen your culture across all generations in the workplace How to address concerns and build strategies for reskilling and upskilling your people How to incorporate games, play, and other techniques to engage your agents with AI Explore thought experiments for the future of support in your organization “Insightful & comprehensive—if you run a service & support operation, put this book on your essential reading list right now!” —PHIL WOLFENDEN, Cisco, VP, Customer Experience “This book is both timely and relevant as we enter an unprecedented period in our industry and the broader world driven by Generative AI. The magnitude and speed of change we’re experiencing is astounding and this book does an outstanding job balancing technical knowledge with the people and ethical considerations we must also keep front of mind.” —BRYAN BELMONT, Microsoft, Corporate VP, Customer Service & Support “The authors of this book are undoubtedly on the front lines of operationalizing Gen AI implementations in customer support environments... and they know undoubtedly that at its core, support is about people and genuine human connections. This book walks you through their journey to keep people at the center of this technical tsunami.” —PHAEDRA BOINODIRIS, Author, AI for the Rest of Us
Mathematical Foundations Of Software Engineering
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Author : Gerard O'Regan
language : en
Publisher: Springer Nature
Release Date : 2023-05-04
Mathematical Foundations Of Software Engineering written by Gerard O'Regan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-04 with Computers categories.
This textbook presents an introduction to the mathematical foundations of software engineering. It presents the rich applications of mathematics in areas such as error-correcting codes, cryptography, the safety and security critical fields, the banking and insurance fields, as well as traditional engineering applications. Topics and features: Addresses core mathematics for critical thinking and problem solving Discusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument. Examines number theory and its applications to cryptography Considers the underlying mathematics of error-correcting codes Discusses graph theory and its applications to modelling networks Reviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checking Discusses financial software engineering, including simple and compound interest, probability and statistics, and operations research Discusses software reliability and dependability and explains formal methods used to derive a program from its specification Discusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and robotics Includes key learning topics, summaries, and review questions in each chapter, together with a useful glossary This practical and easy-to-follow textbook/reference is ideal for computer science students seeking to learn how mathematics can assist them in building high-quality and reliable software on time and on budget. The text also serves as an excellent self-study primer for software engineers, quality professionals, and software managers.