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Published by Packt Publishing 2/28/2026, 2026
ISBN 10: 1806662272 ISBN 13: 9781806662272
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Paperback or Softback. Condition: New. Model Context Protocol for LLMs: Build secure, scalable, and context-aware AI agents using a standardized protocol. Book.
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Taschenbuch. Condition: Neu. Neuware - The students of this generation face stiffer competition than their parents in getting admission to colleges and winning scholarships. The vast number of children of baby boomers coming of age in the last decade combined with the large influx of new immigrants during this period has created a huge tidal wave of teenagers knocking on the proverbial doors of higher education. As demand for college admissions have soared, colleges and universities have seized the opportunity to raise their fees well beyond the rate of inflation. In response to this, parents have begun to pay close attention to their children's activities during and after school from the elementary school level on and up with a view to increasing their children's chances of gaining admission to the top colleges and winning scholarships. Even the media have gotten into the act of providing guidance on selecting the best colleges and graduate schools. There is currently no comprehensive guide for students / parents on the available options for financing their education beginning from middle school and continuing on till graduate school. This book seeks to fill that void and more. It not only provides guidance on available scholarships, types of government sponsored savings accounts and education loans but also goes on to reveal strategies on getting some of those loans forgiven. Beyond that, it provides parents and students important pointers on receiving different types of IRS tax credits and ways of claiming tax deduction for their kids' education or their own education. Also, winning prestigious math and science scholarships are not only a resume builder but also an enabler in raising the student's chances of gaining admission to the top Ivy League schools. So, this is a must have book for students, parents and school counselors.
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Condition: New. Presents single-phase, two-phase and supercritical natural circulation systems together in one resource to fill an existing knowledge gap Guides the reader through relevant processes, such as designing, analyzing and generating stability m.
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Published by Author Solutions Inc, 2008
ISBN 10: 143438859X ISBN 13: 9781434388599
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Published by Author Solutions Inc, 2008
ISBN 10: 143438859X ISBN 13: 9781434388599
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Published by Packt Publishing Limited, Birmingham, 2026
ISBN 10: 1806662272 ISBN 13: 9781806662272
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Paperback. Condition: new. Paperback. Build scalable, secure LLM applications with the Model Context Protocol and design modular, context-aware multi-agent systems for real-world deploymentFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild modular, production-ready AI agents using the Model Context Protocol (MCP)Integrate MCP with LangChain, AutoGen, and RAG for multi-agent collaborationApply security, performance optimization, and evaluation patterns for real-world deploymentBook DescriptionModern LLM applications often fail due to weak context management, fragile tool integration, and poorly coordinated agents. To address these challenges, this book provides a practical blueprint for building reliable, scalable AI systems using the Model Context Protocol (MCP), an open standard for interoperable AI architectures.You'll explore why context is the missing layer in many AI deployments and how MCP formalizes it. Through clear explanations and practical examples, you'll design modular components such as resource providers, tool providers, gateways, and standardized interfaces. You'll also integrate MCP with LangChain, AutoGen, and RAG pipelines to build collaborative, context-aware multi-agent systems.You'll learn how to apply MCP to multimodal applications, personalization engines, and enterprise knowledge management solutions, while evaluating and benchmarking implementations for production readiness and implementing authentication, authorization, and scaling strategies for secure cloud deployments.Written by a data and AI solutions engineer with over 17 years of experience at Microsoft and Fortune 500 organizations, this guide combines architectural depth with hands-on implementation. By the end, you'll be able to design, build, and deploy secure, reusable MCP-based LLM systems that scale confidently in production.*Email sign-up and proof of purchase requiredWhat you will learnUnderstand the MCP architecture and standardized primitivesImplement resource and tool providers in PythonConnect LangChain and AutoGen to MCP pipelinesSecure agent interactions using authentication and access controlAdd RAG pipelines with shared contextual memoryApply authentication, TLS, and access control modelsOptimize performance with caching and async patternsEvaluate and benchmark MCP systems for production readinessWho this book is forAI/ML engineers, software engineers, and solution architects building LLM-powered applications in production will benefit the most from this book. Cloud architects and platform engineers designing AI infrastructure will also find it valuable. If youre looking for a standardized, modular, and secure approach to managing context across agents and tools, this guide is for you. Intermediate Python skills, a working knowledge of LLM concepts and REST APIs, and familiarity with system design patterns are expected. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Packt Publishing Limited, 2026
ISBN 10: 1806662272 ISBN 13: 9781806662272
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Packt Publishing Limited, 2026
ISBN 10: 1806662272 ISBN 13: 9781806662272
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThe students of this generation face stiffer competition than their parents in getting admission to colleges and winning scholarships. The vast number of children of baby boomers coming of age in the last decade combined with the .