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Paperback or Softback. Condizione: New. Mastering Retrieval-Augmented Generation: Building next-gen GenAI apps with LangChain, LlamaIndex, and LLMs (English Edition). Book.

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Paperback. Condizione: new. Paperback. DESCRIPTIONLarge language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology - powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more important than ever. This book breaks down the essentials of LLMs and explores retrieval-augmented generation (RAG), a powerful approach that combines retrieval systems with generative AI for smarter, faster, and more reliable results.It provides a step-by-step approach to building advanced intelligent systems that utilize an innovative technique known as the RAG thus making them factually correct, context-aware, and sustainable. You will start with foundational knowledge - understanding architectures, training processes, and ethical considerations - before diving into the mechanics of RAG, learning how retrievers and generators collaborate to improve performance. The book introduces essential frameworks like LangChain and LlamaIndex, walking you through practical implementations, troubleshooting, and optimization techniques. It explores advanced optimization techniques, and offers hands-on coding exercises to ensure practical understanding. Real-world case studies and industry applications help bridge the gap between theory and implementation. By the final chapter, you will have the skills to design, build, and optimize RAG-powered applications - integrating LLMs with retrieval systems, creating custom pipelines, and scaling for performance. WHAT YOU WILL LEARN Understand the fundamentals of LLMs. Explore RAG and its key components. Build GenAI applications using LangChain and LlamaIndex frameworks. Optimize retrieval strategies for accurate and grounded AI responses. Deploy scalable, production-ready RAG pipelines with best practices. Troubleshoot and fine-tune RAG pipelines for optimal performance.WHO THIS BOOK IS FORThis book is for AI practitioners, data scientists, students, and developers looking to implement RAG using LangChain and LlamaIndex. Readers having basic knowledge of Python, ML concepts, and NLP fundamentals would be able to leverage the knowledge gained to accelerate their careers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Istio is a powerful service mesh technology that enhances the security, observability, and traffic management of microservices within cloud-native architectures. As organizations increasingly adopt microservices, managing the complexity of service interactions becomes critical. This book is designed to help professionals navigate these complexities by providing a deep understanding of Istio, empowering them to leverage their full potential in building resilient, scalable, and secure service infrastructures.Practical Istiooffers a comprehensive journey through the service mesh, beginning with an introduction to its architecture and fundamental concepts. Readers will delve into advanced topics such as traffic management, security enforcement, and observability, gaining insights into how to implement and optimize Istio in real-world scenarios. Each chapter is crafted to provide practical guidance, including detailed explanations of Istio s key components, like 'Istiod' and 'Envoy', hands-on examples for managing production grade deployments, and strategies for integrating Istio with CI/CD pipelines. The book also covers emerging trends and future directions of service mesh technology, ensuring readers stay ahead of the curve.By the end of this book, readers will be equipped with the knowledge and skills needed to implement Istio in production environments. Whether you re a DevOps engineer, a cloud architect, or a software developer, this book will elevate your understanding of service mesh technology, enabling you to build robust, secure, and efficient microservices architectures with Istio at the core.You Will Learn: Istio s architecture and core components enable you to effectively manage and secure microservices in a cloud-native environment. Practical skills in traffic management, security, and observability to optimize service performance and reliability 563 pp. Englisch.

Paperback. Condizione: new. Paperback. DESCRIPTIONLarge language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology - powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more important than ever. This book breaks down the essentials of LLMs and explores retrieval-augmented generation (RAG), a powerful approach that combines retrieval systems with generative AI for smarter, faster, and more reliable results.It provides a step-by-step approach to building advanced intelligent systems that utilize an innovative technique known as the RAG thus making them factually correct, context-aware, and sustainable. You will start with foundational knowledge - understanding architectures, training processes, and ethical considerations - before diving into the mechanics of RAG, learning how retrievers and generators collaborate to improve performance. The book introduces essential frameworks like LangChain and LlamaIndex, walking you through practical implementations, troubleshooting, and optimization techniques. It explores advanced optimization techniques, and offers hands-on coding exercises to ensure practical understanding. Real-world case studies and industry applications help bridge the gap between theory and implementation. By the final chapter, you will have the skills to design, build, and optimize RAG-powered applications - integrating LLMs with retrieval systems, creating custom pipelines, and scaling for performance. WHAT YOU WILL LEARN Understand the fundamentals of LLMs. Explore RAG and its key components. Build GenAI applications using LangChain and LlamaIndex frameworks. Optimize retrieval strategies for accurate and grounded AI responses. Deploy scalable, production-ready RAG pipelines with best practices. Troubleshoot and fine-tune RAG pipelines for optimal performance.WHO THIS BOOK IS FORThis book is for AI practitioners, data scientists, students, and developers looking to implement RAG using LangChain and LlamaIndex. Readers having basic knowledge of Python, ML concepts, and NLP fundamentals would be able to leverage the knowledge gained to accelerate their careers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Istio is a powerful service mesh technology that enhances the security, observability, and traffic management of microservices within cloud-native architectures. As organizations increasingly adopt microservices, managing the complexity of service interactions becomes critical. This book is designed to help professionals navigate these complexities by providing a deep understanding of Istio, empowering them to leverage their full potential in building resilient, scalable, and secure service infrastructures.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 588 pp. Englisch.

Taschenbuch. Condizione: Neu. Mastering Retrieval-Augmented Generation | Building next-gen GenAI apps with LangChain, LlamaIndex, and LLMs (English Edition) | Prashanth Josyula (u. a.) | Taschenbuch | Englisch | 2025 | BPB Publications | EAN 9789365897241 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. Practical Istio | Learn Istio Service Mesh, Microservices, and Cloud-Native Architecture for Optimal Performance | Prashanth Josyula (u. a.) | Taschenbuch | xxi | Englisch | 2025 | Apress | EAN 9798868815720 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - DESCRIPTIONLarge language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology - powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more important than ever. This book breaks down the essentials of LLMs and explores retrieval-augmented generation (RAG), a powerful approach that combines retrieval systems with generative AI for smarter, faster, and more reliable results.It provides a step-by-step approach to building advanced intelligent systems that utilize an innovative technique known as the RAG thus making them factually correct, context-aware, and sustainable. You will start with foundational knowledge - understanding architectures, training processes, and ethical considerations - before diving into the mechanics of RAG, learning how retrievers and generators collaborate to improve performance. The book introduces essential frameworks like LangChain and LlamaIndex, walking you through practical implementations, troubleshooting, and optimization techniques. It explores advanced optimization techniques, and offers hands-on coding exercises to ensure practical understanding. Real-world case studies and industry applications help bridge the gap between theory and implementation.By the final chapter, you will have the skills to design, build, and optimize RAG-powered applications - integrating LLMs with retrieval systems, creating custom pipelines, and scaling for performance.WHAT YOU WILL LEARN¿ Understand the fundamentals of LLMs.¿ Explore RAG and its key components.¿ Build GenAI applications using LangChain and LlamaIndex frameworks.¿ Optimize retrieval strategies for accurate and grounded AI responses.¿ Deploy scalable, production-ready RAG pipelines with best practices.¿ Troubleshoot and fine-tune RAG pipelines for optimal performance.WHO THIS BOOK IS FORThis book is for AI practitioners, data scientists, students, and developers looking to implement RAG using LangChain and LlamaIndex. Readers having basic knowledge of Python, ML concepts, and NLP fundamentals would be able to leverage the knowledge gained to accelerate their careers.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Istio is a powerful service mesh technology that enhances the security, observability, and traffic management of microservices within cloud-native architectures. As organizations increasingly adopt microservices, managing the complexity of service interactions becomes critical. This book is designed to help professionals navigate these complexities by providing a deep understanding of Istio, empowering them to leverage their full potential in building resilient, scalable, and secure service infrastructures.Practical Istiooffers a comprehensive journey through the service mesh, beginning with an introduction to its architecture and fundamental concepts. Readers will delve into advanced topics such as traffic management, security enforcement, and observability, gaining insights into how to implement and optimize Istio in real-world scenarios. Each chapter is crafted to provide practical guidance, including detailed explanations of Istio s key components, like 'Istiod' and 'Envoy', hands-on examples for managing production grade deployments, and strategies for integrating Istio with CI/CD pipelines. The book also covers emerging trends and future directions of service mesh technology, ensuring readers stay ahead of the curve.By the end of this book, readers will be equipped with the knowledge and skills needed to implement Istio in production environments. Whether you re a DevOps engineer, a cloud architect, or a software developer, this book will elevate your understanding of service mesh technology, enabling you to build robust, secure, and efficient microservices architectures with Istio at the core.You Will Learn: Istio s architecture and core components enable you to effectively manage and secure microservices in a cloud-native environment. Practical skills in traffic management, security, and observability to optimize service performance and reliability To explore more advanced techniques for production grade deployments and extending Istio with custom plugins and adapters Real-world case studies and examples, give you the practical knowledge to implement, troubleshoot, and optimize Istio in production environmentsThis Book is For:Software Developers and Engineers, Researchers, IT Architects, Cloud Engineers, Site Reliability Engineers (SREs), Security Engineers, MLOps and AIOps as well as DevOps Managers and Product Owners.