Halversen Bjorn (19 results)
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Description The convergence of large language models, retrieval-augmented generation, and knowledge graphs has opened a new frontier in artificial intelligence: the design of autonomous multiagent systems capable of sophisticated reasoning, dynamic collaboration, and reliable execution in c…omplex, real-world environments. AI Agents Handbook delivers a rigorous, end-to-end reference for professionals who must move beyond isolated LLM calls to architect, implement, and operate production-grade agentic platforms. This volume provides the architectural principles, design patterns, and engineering methodologies required to build agents that perceive, plan, act, and coordinate effectively. Readers gain deep expertise in constructing high-fidelity RAG pipelines, integrating structured knowledge graphs for semantic reasoning, implementing advanced agent patterns such as ReAct and Reflexion, and orchestrating multiagent workflows that scale across distributed infrastructure. The handbook systematically addresses the full system lifecycle-from data ingestion and knowledge representation to agent lifecycle management, inter-agent communication protocols, fault tolerance, and continuous evaluation-while maintaining a consistent focus on reliability, observability, and responsible deployment. Special attention is given to the practical challenges that determine success in enterprise and research settings: mitigating hallucinations and retrieval failures, securing agents against prompt injection and adversarial inputs, preserving privacy in multi-party environments, establishing governance and audit mechanisms, and achieving horizontal scalability without sacrificing coherence. Domain-informed case studies and reference architectures illustrate how these components integrate into cohesive solutions for software engineering automation, research acceleration, financial process orchestration, and knowledge-intensive operations. AI Agents Handbook is written for experienced AI engineers, system architects, machine learning researchers, and technical leaders who require both theoretical depth and actionable implementation guidance. Its structured progression from foundational concepts to advanced production considerations equips readers to design agents that are not only intelligent but also robust, maintainable, and aligned with organizational objectives. Master the construction of autonomous multiagent systems that deliver measurable value.Acquire your copy of AI Agents Handbook today and begin building the next generation of scalable, trustworthy, and collaborative AI agent platforms.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Self-hosted workflow automation platforms give technical teams complete control over data privacy, infrastructure costs, customization, and integration depth. n8n Workflow Automation on Self-Hosted Docker delivers a rigorous, practice-oriented guide to deploying, securing, and extending the… n8n platform inside Dockerized environments so you can orchestrate sophisticated workflows, manage them through Git, execute local terminal operations safely, and build native AI agents that run entirely on your infrastructure. The book opens with the architectural foundations of n8n and containerized deployments. You will master host preparation, Docker Compose orchestration, custom image hardening, persistent volume strategies with PostgreSQL, network isolation, and production-grade environment configuration. Subsequent chapters advance through robust workflow design patterns-node semantics, data transformation, conditional logic, error handling, retries, and modular architecture-before focusing on specialized capabilities. A dedicated treatment of n8n's source control and environments feature shows how to connect instances to Git repositories, implement branching and promotion workflows, enable collaborative development, and integrate with CI/CD pipelines for automated testing and deployment of automation assets. Separate coverage addresses the secure activation and disciplined use of command execution nodes inside Docker containers, including permission models, auditing, isolation techniques, and hybrid architectures that combine declarative workflows with imperative local actions.>Security, observability, and operational excellence receive thorough attention: identity and access management, secrets handling, container hardening, structured logging and metrics, performance tuning, scaling with workers and high availability, backup and disaster recovery procedures, and lifecycle management. Real-world architectural patterns illustrate application to DevOps pipelines, internal tooling, data engineering workflows, and autonomous intelligent processes. Intended for experienced developers, DevOps engineers, automation architects, and technical leaders who prioritize sovereignty and extensibility, this resource supplies the precise configurations, architectural patterns, and implementation techniques required to operate a professional-grade, self-hosted n8n platform. Take control of your automation strategy and AI capabilities. Acquire this book today and begin building secure, private, version-controlled, and intelligent workflow systems with n8n on Docker.
- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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US$ 24.00
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Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 25.99
US$ 49.17 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. The MERN stack remains one of the most powerful and productive JavaScript ecosystems for building real-time, feature-rich applications. MERN Stack Utilization by Experienced Engineers delivers the advanced implementation strategies and architectural patterns used by veteran developers to han…dle complex data persistence and secure authentication in production-grade chat applications. This professional guide explores battle-tested techniques for schema design, real-time data synchronization, scalable messaging architectures, authentication flows, session management, and security hardening specifically tailored to high-concurrency chat systems. Every chapter draws from real-world production experience, addressing challenges such as message history scaling, user presence, end-to-end encryption readiness, and seamless integration across the full MERN pipeline. Written exclusively for experienced fullstack JavaScript engineers, senior MERN developers, technical architects, and engineering leads who already build production applications, this book provides the depth and precision required to elevate chat applications from functional prototypes to robust, scalable, and secure platforms. Ready to master production-grade MERN patterns for data persistence and authentication in modern chat applications? Order your copy today and implement the same battle-tested approaches used by veteran engineers in high-traffic collaborative environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 26.67
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Paperback. Condition: new. Paperback. In the current generation of AI-native application development, the decisive factor separating experimental prototypes from production systems is the quality of integration between large language models and the external systems that supply context and execute outcomes. Ad-hoc tool calling, f…ragile prompt stuffing, and tightly coupled vendor SDKs create brittle architectures that fracture under load, resist governance, and become impossible to evolve. MCP Integration Scaling delivers the missing engineering discipline: a complete, contract-first methodology for designing, implementing, and operating standardized interfaces that reliably connect language models to custom data providers and action executors at enterprise scale. This book introduces the Model Context Protocol (MCP), a rigorous framework for defining modular, versioned, and observable interfaces that abstract away the complexity of heterogeneous data sources and executable capabilities. Readers will acquire deep expertise in formal contract design, semantic schema alignment, capability declaration, context lifecycle management, secure execution sandboxes, distributed tracing, and resilience patterns specifically engineered for LLM-driven workflows. The text systematically addresses the full spectrum of concerns facing senior practitioners: how to specify retrieval interfaces that deliver precisely scoped, provenance-tracked context without overwhelming model windows; how to model actions with clear transactional boundaries and compensation logic; how to orchestrate multi-step, stateful interactions across providers and executors while preserving isolation and auditability; and how to scale these integrations horizontally while enforcing security, quota, and compliance policies. Through detailed architectural patterns, reference implementations, testing strategies, and production case studies, the book equips AI platform engineers, backend architects, and technical leads with immediately applicable frameworks. You will learn to build SDKs and specification-driven tooling that accelerate development, implement contract and chaos testing regimes that catch integration regressions early, and deploy MCP endpoints using cloud-native and edge patterns that maintain low latency and high availability. Advanced chapters explore federated multi-model topologies, self-describing interfaces, runtime capability negotiation, and optimization techniques that reduce cost and latency while increasing throughput. Whether you are constructing retrieval-augmented generation pipelines, multi-agent orchestration layers, autonomous workflow engines, or enterprise knowledge systems, the methodologies in this volume will allow you to replace fragile point-to-point integrations with durable, evolvable, and governable interfaces. The result is AI applications that remain reliable as data sources, action surfaces, and model capabilities continue to proliferate.Master the design and operation of production-grade MCP integrations. Acquire your copy today and establish the standardized interface layer your AI systems require to deliver consistent, secure, and scalable outcomes. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 27.36
US$ 49.17 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Description The convergence of large language models, retrieval-augmented generation, and knowledge graphs has opened a new frontier in artificial intelligence: the design of autonomous multiagent systems capable of sophisticated reasoning, dynamic collaboration, and reliable execution in co…mplex, real-world environments. AI Agents Handbook delivers a rigorous, end-to-end reference for professionals who must move beyond isolated LLM calls to architect, implement, and operate production-grade agentic platforms. This volume provides the architectural principles, design patterns, and engineering methodologies required to build agents that perceive, plan, act, and coordinate effectively. Readers gain deep expertise in constructing high-fidelity RAG pipelines, integrating structured knowledge graphs for semantic reasoning, implementing advanced agent patterns such as ReAct and Reflexion, and orchestrating multiagent workflows that scale across distributed infrastructure. The handbook systematically addresses the full system lifecycle-from data ingestion and knowledge representation to agent lifecycle management, inter-agent communication protocols, fault tolerance, and continuous evaluation-while maintaining a consistent focus on reliability, observability, and responsible deployment. Special attention is given to the practical challenges that determine success in enterprise and research settings: mitigating hallucinations and retrieval failures, securing agents against prompt injection and adversarial inputs, preserving privacy in multi-party environments, establishing governance and audit mechanisms, and achieving horizontal scalability without sacrificing coherence. Domain-informed case studies and reference architectures illustrate how these components integrate into cohesive solutions for software engineering automation, research acceleration, financial process orchestration, and knowledge-intensive operations. AI Agents Handbook is written for experienced AI engineers, system architects, machine learning researchers, and technical leaders who require both theoretical depth and actionable implementation guidance. Its structured progression from foundational concepts to advanced production considerations equips readers to design agents that are not only intelligent but also robust, maintainable, and aligned with organizational objectives. Master the construction of autonomous multiagent systems that deliver measurable value.Acquire your copy of AI Agents Handbook today and begin building the next generation of scalable, trustworthy, and collaborative AI agent platforms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 28.73
US$ 49.17 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Self-hosted workflow automation platforms give technical teams complete control over data privacy, infrastructure costs, customization, and integration depth. n8n Workflow Automation on Self-Hosted Docker delivers a rigorous, practice-oriented guide to deploying, securing, and extending the…n8n platform inside Dockerized environments so you can orchestrate sophisticated workflows, manage them through Git, execute local terminal operations safely, and build native AI agents that run entirely on your infrastructure. The book opens with the architectural foundations of n8n and containerized deployments. You will master host preparation, Docker Compose orchestration, custom image hardening, persistent volume strategies with PostgreSQL, network isolation, and production-grade environment configuration. Subsequent chapters advance through robust workflow design patterns-node semantics, data transformation, conditional logic, error handling, retries, and modular architecture-before focusing on specialized capabilities. A dedicated treatment of n8n's source control and environments feature shows how to connect instances to Git repositories, implement branching and promotion workflows, enable collaborative development, and integrate with CI/CD pipelines for automated testing and deployment of automation assets. Separate coverage addresses the secure activation and disciplined use of command execution nodes inside Docker containers, including permission models, auditing, isolation techniques, and hybrid architectures that combine declarative workflows with imperative local actions.The text provides comprehensive instruction on constructing production-ready native AI agents. You will configure the AI Agent node, integrate local LLMs, implement retrieval-augmented generation with vector store tools, manage conversational memory and state, equip agents with custom tools, and orchestrate multi-agent systems-all while keeping sensitive data and model interactions fully on-premises. Security, observability, and operational excellence receive thorough attention: identity and access management, secrets handling, container hardening, structured logging and metrics, performance tuning, scaling with workers and high availability, backup and disaster recovery procedures, and lifecycle management. Real-world architectural patterns illustrate application to DevOps pipelines, internal tooling, data engineering workflows, and autonomous intelligent processes. Intended for experienced developers, DevOps engineers, automation architects, and technical leaders who prioritize sovereignty and extensibility, this resource supplies the precise configurations, architectural patterns, and implementation techniques required to operate a professional-grade, self-hosted n8n platform. Take control of your automation strategy and AI capabilities. Acquire this book today and begin building secure, private, version-controlled, and intelligent workflow systems with n8n on Docker. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
