Llm Design Patterns
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Llm Design Patterns
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Author : Ken Huang
language : en
Publisher: Packt Publishing
Release Date : 2025-05-30
Llm Design Patterns written by Ken Huang and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.
This book helps you gain practical skills to develop and deploy LLMs.
Mastering Python Design Patterns
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Author : Kamon Ayeva
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31
Mastering Python Design Patterns written by Kamon Ayeva 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 2024-05-31 with Computers categories.
Learn Python design patterns such as Observer, Proxy, Throttling, Dependency Injection, and Anti-Patterns to develop efficient, scalable applications. Key Features Master essential design principles to build robust software architecture with the latest features in Python 3.10 Leverage concurrency, async patterns, and testing strategies for optimal performance Apply SOLID principles and advanced patterns to real-world Python projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications. The book delves into design principles and patterns in Python, covering both classic and modern patterns, and apply them to solve daily challenges as a Python developer or architect. Co-authored by two Python experts with a combined experience of three decades, this new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll find out how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient. By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications.What you will learn Master fundamental design principles and SOLID concepts Become familiar with Gang of Four (GoF) patterns and apply them effectively in Python Explore architectural design patterns to architect robust systems Delve into concurrency and performance patterns for optimized code Discover distributed systems patterns for scalable applications Get up to speed with testing patterns to ensure code reliability and maintainability Develop modular, decoupled systems and manage dependencies efficiently Who this book is for With a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.
Designing Large Language Model Applications
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Author : Suhas Pai
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-03-06
Designing Large Language Model Applications written by Suhas Pai 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 2025-03-06 with Computers categories.
Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged applications can be difficult. This book helps close that gap, providing the tools, techniques, and playbooks that practitioners need to build useful products that incorporate the power of language models. Experienced ML researcher Suhas Pai offers practical advice on harnessing LLMs for your use cases and dealing with commonly observed failure modes. You’ll take a comprehensive deep dive into the ingredients that make up a language model, explore various techniques for customizing them such as fine-tuning, learn about application paradigms like RAG (retrieval-augmented generation) and agents, and more. Understand how to prepare datasets for training and fine-tuning Develop an intuition about the Transformer architecture and its variants Adapt pretrained language models to your own domain and use cases Learn effective techniques for fine-tuning, domain adaptation, and inference optimization Interface language models with external tools and data and integrate them into an existing software ecosystem
Llm Engineer S Handbook
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Author : Paul Iusztin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-22
Llm Engineer S Handbook written by Paul Iusztin 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 2024-10-22 with Computers categories.
Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios
Artificial General Intelligence
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Author : Matthew Iklé
language : en
Publisher: Springer Nature
Release Date : 2025-08-06
Artificial General Intelligence written by Matthew Iklé and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025. The 72 full papers included in this book were carefully reviewed and selected from 179 submissions. They were organized in topical sections as follows: novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics, safety, formal mathematical foundations and philosophy of AGI.
Computer Human Interaction Research And Applications
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Author : Hugo Plácido da Silva
language : en
Publisher: Springer Nature
Release Date : 2025-03-06
Computer Human Interaction Research And Applications written by Hugo Plácido da Silva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
This two-volume set, CCIS 2370 and CCIS 2371, constitutes the proceedings of the 8th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2024, held Porto, Portugal, during November 21–22, 2024. The 16 full papers and 45 short papers presented in these volumes were carefully reviewed and selected from 76 submissions. These papers focus on the research advancements and practical applications within various areas in the field of Computer-Human Interaction, including Human Factors and Information Systems, Interactive Devices, Interaction Design and Adaptive and Intelligent Systems.
Ultimate Android Design Patterns
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Author : Lorenzo Vainigli
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-05-13
Ultimate Android Design Patterns written by Lorenzo Vainigli and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
TAGLINE Unlocking the Power of Design Patterns to Build Awesome Android Apps KEY FEATURES ● Learn creational, structural, behavioral, and architectural patterns to build scalable, maintainable, and testable apps. ● Apply design patterns in hands-on projects, including an e-commerce app, a social media platform, and a chat system. ● Enhance app efficiency with concurrency patterns, network security best practices, and performance optimization techniques. DESCRIPTION Design patterns are the backbone of well-structured software, enabling developers to write clean, reusable, and testable code. By mastering these patterns, you’ll enhance code efficiency, reduce technical debt, and future-proof your apps against rapid industry changes. Ultimate Android Design Patterns is your essential guide to building scalable, maintainable, and high-performance Android applications. You’ll start with the fundamentals of design patterns, advance through architectural decisions and performance optimizations, and conclude with real-world project implementations. This book systematically explores creational, structural, behavioral, and architectural design patterns, demonstrating how they solve real-world coding challenges. You’ll implement these concepts through three hands-on projects—an e-commerce app, a social media platform, and a chat system—leveraging Kotlin, Jetpack Compose, Room, and Dependency Injection to create production-ready applications. Whether you’re an aspiring Android developer refining your fundamentals or an experienced programmer looking to elevate your app architecture, this book provides a structured learning path. Don't miss the opportunity to master the best practices that top Android engineers rely on—stay ahead in the fast-evolving world of mobile development! WHAT WILL YOU LEARN ● Master design patterns to build scalable and maintainable Android apps ● Apply MVVM and MVI to create clean and modular app architectures ● Enhance code reusability with creational, structural, and behavioral patterns ● Develop real-world apps using Kotlin, Jetpack Compose, and Room Database ● Boost app performance by optimizing memory usage and CPU efficiency ● Improve testability with JUnit, Espresso, and Dependency Injection WHO IS THIS BOOK FOR? This book is for Android developers of all levels who want to write scalable, maintainable, and testable applications using design patterns and modern architectures. Readers should have basic knowledge of Kotlin and Android development, as the book focuses on applying best coding practices, architectural patterns, and real-world project implementation. TABLE OF CONTENTS 1. Overview of Design Patterns 2. Design Patterns in Android Development 3. Creational Patterns 4. Structural Patterns 5. Behavioral Patterns 6. Architectural Patterns 7. Concurrency, Network, and, Security Patterns 8. Combining Patterns 9. Performance Considerations 10. Testing with Design Patterns 11. Refactoring with Design Patterns 12. Building an E-Commerce App 13. Building a Social Media App 14. Building a Chat App 15. The Future of Android Development Index
Ux For Ai
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Author : Greg Nudelman
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-30
Ux For Ai written by Greg Nudelman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
Learn to research, plan, design, and test the UX of AI-powered products Unlock the future of design with UX for AI—your indispensable guide to not only surviving but thriving in a world powered by artificial intelligence. Whether you're a seasoned UX designer or a budding design student, this book offers a lifeline for navigating the new normal, ensuring you stay relevant, valuable, and indispensable to your organization. In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman—a seasoned UX designer and AI strategist—delivers a battle-tested framework that helps you keep your edge, thrive in your design job, and seize the opportunities AI brings to the table. Drawing on insights from 35 real-world AI projects and acknowledging the hard truth that 85% of AI initiatives fail, this book equips you with the practical skills you need to reverse those odds. You'll gain powerful tools to research, plan, design, and test user experiences that seamlessly integrate human-AI interactions. From practical design techniques to proven user research methods, this is the essential guide for anyone determined to create AI products that not only succeed but set new standards of value and impact. Inside the book: Hands-on exercises: Build your confidence and skills with practice UX design tasks like Digital Twin and Value Matrix, which you can immediately apply to your own AI projects. Common AI patterns and best practices: Explore design strategies for LLMs (Large Language Models), search engines, copilots, and more. Proven user research strategies: Learn how to uncover user needs and behaviors in this brave new world of AI-powered design. Real-world case studies: See how simple, practical UX approaches have prevented multimillion-dollar failures and unlocked unprecedented value. Perfect for any UX designer working with AI-enabled and AI-driven products, UX for AI is also a must-read resource for designers-in-training and design students with an interest in artificial intelligence and contemporary design.
Generative Ai For Effective Software Development
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Author : Anh Nguyen-Duc
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Generative Ai For Effective Software Development written by Anh Nguyen-Duc and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
This book provides a comprehensive, empirically grounded exploration of how Generative AI is reshaping the landscape of software development. It emphasizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integration of Generative AI, highlighting how these advanced tools are adapted to and influence diverse cultural, organizational, and technological environments. This book is structured to provide a comprehensive understanding of Generative AI and its transformative impact on the field of software engineering. The book is divided into five parts, each focusing on different aspects of Generative AI in software development. As an introduction, Part 1 presents the fundamentals of Generative AI adoption. Part 2 is a collection of empirical studies and delves into the practical aspects of integrating Generative AI tools in software engineering, with a focus on patterns, methodologies, and comparative analyses. Next, Part 3 presents case studies that showcase the application and impact of Generative AI in various software development contexts. Part 4 then examines how Generative AI is reshaping software engineering processes, from collaboration and workflow to management and agile development. Finally, Part 5 looks towards the future, exploring emerging trends, future directions, and the role of education in the context of Generative AI. The book offers diverse perspectives as it compiles research and experiences from various countries and software development environments. It also offers non-technical discussions about Generative AI in management, teamwork, business and education. This way, it is intended for both researchers in software engineering and for professionals in industry who want to learn about the impactof Generative AI on software development.
Genai On Aws
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Author : Olivier Bergeret
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-19
Genai On Aws written by Olivier Bergeret and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Computers categories.
The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.