Название: Mastering Microservices with Java and Spring Boot: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 547
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Discover the intricate dynamics of modern software development with "Mastering Microservices with Java and Spring Boot: Unlock the Secrets of Expert-Level Skills". This authoritative guide empowers experienced developers to harness the full potential of microservices architecture. By delving into advanced Java techniques and leveraging the robust capabilities of Spring Boot, you'll gain the insights necessary to build scalable, resilient, and highly adaptable systems that meet the demands of today's fast-paced digital landscape. This comprehensive book walks you through essential topics with precision and clarity, addressing core facets like efficient deployment, inter-service communication, and robust security mechanisms. Learn how to deploy and manage microservices effectively, ensuring optimal performance and reliability. Explore real-world techniques and best practices for monitoring, testing, and scaling, all designed to enhance your architectural robustness and system efficiency. With a focus on practical application and advanced theory, this guide ensures an analytical approach to mastering microservices.

Название: Generative AI on Kubernetes: Operationalizing Large Language Models (Early Release)
Автор: Roland Huß, Daniele Zonca
Издательство: O’Reilly Media, Inc.
Год: 2025-03-12
Страниц: 108
Язык: английский
Формат: epub
Размер: 10.1 MB

Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. This book serves as a practical, hands-on guide for MLOps engineers, software developers, Kubernetes administrators, and AI professionals ready to unlock AI innovation with the power of cloud native infrastructure. Authors Roland Huß and Daniele Zonca provide a clear road map for training, fine-tuning, deploying, and scaling GenAI models on Kubernetes, addressing challenges like resource optimization, automation, and security along the way. With actionable insights with real-world examples, readers will learn to tackle the opportunities and complexities of managing GenAI applications in production environments. Whether you're experimenting with large-scale language models or facing the nuances of AI deployment at scale, you'll uncover expertise you need to operationalize this exciting technology effectively.

Название: Mastering Java Reflection and Metaprogramming: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 517
Язык: английский
Формат: epub (true)
Размер: 10.8 MB

"Mastering Java Reflection and Metaprogramming: Unlock the Secrets of Expert-Level Skills" is an essential resource for seasoned Java developers eager to delve into the advanced capabilities that set apart proficient programmers. This book demystifies the powerful yet complex topics of reflection and metaprogramming, empowering developers to craft more adaptable, flexible, and dynamic applications. Each chapter methodically unpacks intricate concepts, equipping readers with the skills to transform how they approach Java programming. Dive into a meticulously curated exploration of Java's most sophisticated features, including dynamic class loading, bytecode manipulation, and the strategic use of annotations. Through a balanced blend of theoretical depth and practical application, this book offers readers valuable insights into the seamless integration of reflection with modern Java features. Learn how to optimize performance while maintaining the highest security standards, ensuring your applications are both efficient and resilient to potential vulnerabilities.

Название: RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents (Early Release)
Автор: Dominik Polzer
Издательство: O’Reilly Media, Inc.
Год: 2025-03-11
Язык: английский
Формат: epub (true), mobi
Размер: 10.9 MB

As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer. By combining LLMs with information retrieval, RAG empowers you to build everything from intelligent chatbots to autonomous, task-solving agents. Packed with over 70 practical recipes, this go-to guide tackles a wide range of GenAI applications through structured hands-on learning. Author Dominik Polzer provides the tools you need to design, implement, and optimize RAG systems for your unique use cases. Whether you're working with simple data retrieval or designing cutting-edge autonomous agents, this cookbook will help you stay ahead of the curve.

Название: Mastering OpenAI for Enterprise: Unlock the Power of OpenAI to Build Intelligent Applications for Businesses with GPT, DALL-E, RAG, and AI Agents
Автор: Sriram Subramanian
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 242
Язык: английский
Формат: epub (true)
Размер: 14.5 MB

Master OpenAI and Unlock the Future of AI-Powered Innovation. OpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. This book is tailored for both beginners and experienced professionals looking to harness the power of OpenAI.

Название: Разработка пользовательских интерфейсов
Автор: Тидвелл Дженифер
Издательство: Питер Пресс
Год: 2008
Страниц: 416
Формат: djvu
Размер: 23 мб
Качество: хорошее
Язык: русский

Разработать хороший интерфейс не так-то просто. Пользователю в наше время требуется программное обеспечение, работа которого прекрасно отлажена, интерфейс радует взгляд, да и в целом пользоваться программой должно быть легко. При этом клиенты и менеджеры требуют, чтобы ПО было оригинальным и быстро продавалось.

Название: Data Structures in Depth Using C++: A Comprehensive Guide to Data Structure Implementation and Optimization in C++
Автор: Mahmmoud Mahdi
Издательство: Apress
Год: 2025
Страниц: 383
Язык: английский
Формат: True PDF
Размер: 52.9 MB

Understand and implement data structures and bridge the gap between theory and application. This book covers a wide range of data structures, from basic arrays and linked lists to advanced trees and graphs, providing readers with in-depth insights into their implementation and optimization in C++. You'll explore crucial topics to optimize performance and enhance their careers in software development. In today's environment of growing complexity and problem scale, a profound grasp of C++ data structures, including efficient data handling and storage, is more relevant than ever. This book introduces fundamental principles of data structures and design, progressing to essential concepts for high-performance application. Finally, you'll explore the application of data structures in real-world scenarios, including case studies and use in Machine Learning and Big Data. This practical, step-by-step approach, featuring numerous code examples, performance analysis and best practices, is written with a wide range of C++ programmers in mind. So, if you're looking to solve complex data structure problems using C++, this book is your complete guide.

Название: Mastering Performance Optimization in Python: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 500
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Dive deep into the art and science of Python performance enhancement with "Mastering Performance Optimization in Python: Unlock the Secrets of Expert-Level Skills." This advanced guide transforms seasoned developers into Python performance experts by exploring sophisticated techniques that elevate coding prowess. From runtime environments and data handling to memory management and concurrency, this book provides the essential insights needed to navigate and conquer complex performance challenges. Each chapter meticulously breaks down intricate concepts, presenting clear, actionable strategies for real-world application. Discover how to leverage Python's built-in libraries, utilize asynchronous programming, and implement multithreading and multiprocessing for optimal efficiency. With a focus on profiling, benchmarking, and continuous monitoring, the book ensures that readers develop the skills to not only identify but also rectify performance bottlenecks, delivering applications that are both robust and scalable.

Название: Explainable Artificial Intelligence in the Healthcare Industry
Автор: Abhishek Kumar, T. Ananth Kumar, Prasenjit Das, Chetan Sharma
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 680
Язык: английский
Формат: pdf (true), epub
Размер: 31.6 MB

Discover the essential insights and practical applications of Explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of Artificial Intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry.

Название: Cross-device Federated Recommendation: Privacy-Preserving Personalization
Автор: Xiangjie Kong, Lingyun Wang, Mengmeng Wang, Guojiang Shen
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2025
Страниц: 166
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book introduces the prevailing domains of recommender systems and cross-device Federated Learning (FL), highlighting the latest research progress and prospects regarding cross-device federated recommendation. As a privacy-oriented distributed computing paradigm, cross-device Federated Learning enables collaborative intelligence across multiple devices while ensuring the security of local data. In this context, ubiquitous recommendation services emerge as a crucial application of device-side AI, making a deep exploration of federated recommendation systems highly significant. This book is self-contained, and each chapter can be comprehended independently. Overall, the book organizes existing efforts in federated recommendation from three different perspectives. The perspective of learning paradigms includes statistical Machine Learning (ML), Deep Learning, Reinforcement Learning, and meta learning, where each has detailed techniques (e.g., different neural building blocks) to present relevant studies. The perspective of privacy computing covers homomorphic encryption, differential privacy, secure multi-party computing, and malicious attacks.