Felix ming (26 Ergebnisse)
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Sprache: Englisch
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Verlag: Amazon Digital Services LLC - Kdp, 2026
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Sprache: Englisch
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Paperback. Zustand: new. Paperback. Playwright MCP Server Engineering focuses on building and operating automated Model Context Protocol servers using Playwright-based execution environments. This book explores how automation frameworks can be leveraged to create controlled, repeatable, and observable AI workflows.Readers will l…earn how MCP servers manage context exchange, coordinate tool execution, and interact with external systems through automated processes. The book covers server design, request handling, environment isolation, testing pipelines, and operational monitoring for context-driven services.With a strong emphasis on applied engineering, this guide demonstrates how Playwright enables reliable execution layers for AI systems that require browser interaction, validation steps, or multi-stage workflows. It is designed for engineers who want to move beyond theory and deploy production-ready MCP server infrastructures. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
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Paperback. Zustand: new. Paperback. Unleash the power of collaborative AI with Advanced Multi-Agent Systems with LangGraph: Building Collaborative and Stateful AI Architectures, the definitive guide to crafting intelligent, interconnected AI agent networks for next-generation automation. This hands-on, code-driven book dives dee…p into LangGraph's advanced capabilities, empowering you to architect multi-agent systems that excel in dynamic, real-world scenarios. Discover how to design stateful workflows that maintain context across interactions, integrate external tools and APIs with Tool-Augmented Protocol (TAP), and enhance decision-making with Retrieval-Augmented Generation (RAG) using vector databases like FAISS and Chroma. From building role-specific agents for supply chain optimization to creating intelligent customer support networks and research assistants, this book provides production-ready blueprints packed with practical examples and reusable code. Learn to implement persistent memory, adaptive prompting, and robust error recovery for resilient, scalable systems. With LangSmith's debugging and observability tools, you'll master tracing and optimizing complex agent interactions.Who This Book Is For: This book is tailored for AI developers, data scientists, AI architects, and tech innovators eager to push the boundaries of AI automation. Whether you're a startup founder automating business processes, an enterprise architect enhancing operational efficiency, or a researcher exploring cutting-edge AI, this book equips you with the tools and knowledge to succeed.What You'll Learn: Architect collaborative multi-agent systems using LangGraph for seamless task coordination and adaptability.Implement stateful workflows with persistent memory for context-aware, long-running interactions.Integrate APIs, Python scripts, and custom tools with TAP for enhanced agent functionality.Leverage RAG with vector databases for knowledge-driven, contextually relevant decision-making.Build resilient agents with error handling, recovery mechanisms, and human-in-the-loop oversight.Apply real-world use cases like supply chain automation, customer support networks, and research assistants.Master debugging and observability with LangSmith for scalable, high-performance systems.With its practical, code-centric approach and focus on ethical AI design, this book is your gateway to building modular, secure, and innovative multi-agent systems that transform industries and redefine automation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. The advent of autonomous AI agents powered by large language models (LLMs) marks a revolutionary shift in artificial intelligence, enabling advanced reasoning, decision-making, and dynamic interaction across industries like finance, healthcare, logistics, and beyond. Leveraging frameworks such… as LangGraph and LangChain, these agentic AI systems deliver transformative capabilities but introduce critical security challenges-including prompt injection, memory corruption, intent misalignment, and adversarial attacks-that traditional software security cannot address.Agentic AI Security: Architecting Resilient Autonomous LLM Systems for Enterprise Trust is the definitive guide for AI engineers, security architects, DevSecOps professionals, and enterprise leaders seeking to design, secure, and deploy robust autonomous LLM systems. This book provides a comprehensive agentic AI security framework, encompassing advanced threat modeling, secure prompt engineering, memory safeguards, anomaly detection, and compliance with global standards such as NIST AI RMF, OWASP GenAI Top 10, and the EU AI Act. Through structured methodologies and practical strategies, readers will master secure AI architecture, adversarial resilience, and scalable agentic workflows for production-grade enterprise environments.Key takeaways include: Architecting secure agentic AI workflows with schema-constrained prompts and guarded tool orchestrationImplementing memory integrity checks and anomaly detection for robust data handlingConducting red teaming and adversarial testing to fortify agents against sophisticated AI security threatsScaling autonomous AI systems for high-throughput enterprise applications with performance optimizationEnsuring enterprise AI compliance with auditable, governance-aligned deploymentsThis book empowers technical professionals with strategic insights and practical patterns to build trustworthy, resilient AI agents that meet the rigorous demands of modern enterprise AI ecosystems. Master agentic AI security and lead the future of secure autonomous systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published, 2026
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Paperback. Zustand: new. Paperback. Playwright MCP Server Engineering focuses on building and operating automated Model Context Protocol servers using Playwright-based execution environments. This book explores how automation frameworks can be leveraged to create controlled, repeatable, and observable AI workflows.Readers will l…earn how MCP servers manage context exchange, coordinate tool execution, and interact with external systems through automated processes. The book covers server design, request handling, environment isolation, testing pipelines, and operational monitoring for context-driven services.With a strong emphasis on applied engineering, this guide demonstrates how Playwright enables reliable execution layers for AI systems that require browser interaction, validation steps, or multi-stage workflows. It is designed for engineers who want to move beyond theory and deploy production-ready MCP server infrastructures. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published, 2025
- Softcover
- Print-on-Demand
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Paperback. Zustand: new. Paperback. Unleash the power of collaborative AI with Advanced Multi-Agent Systems with LangGraph: Building Collaborative and Stateful AI Architectures, the definitive guide to crafting intelligent, interconnected AI agent networks for next-generation automation. This hands-on, code-driven book dives dee…p into LangGraph's advanced capabilities, empowering you to architect multi-agent systems that excel in dynamic, real-world scenarios. Discover how to design stateful workflows that maintain context across interactions, integrate external tools and APIs with Tool-Augmented Protocol (TAP), and enhance decision-making with Retrieval-Augmented Generation (RAG) using vector databases like FAISS and Chroma. From building role-specific agents for supply chain optimization to creating intelligent customer support networks and research assistants, this book provides production-ready blueprints packed with practical examples and reusable code. Learn to implement persistent memory, adaptive prompting, and robust error recovery for resilient, scalable systems. With LangSmith's debugging and observability tools, you'll master tracing and optimizing complex agent interactions.Who This Book Is For: This book is tailored for AI developers, data scientists, AI architects, and tech innovators eager to push the boundaries of AI automation. Whether you're a startup founder automating business processes, an enterprise architect enhancing operational efficiency, or a researcher exploring cutting-edge AI, this book equips you with the tools and knowledge to succeed.What You'll Learn: Architect collaborative multi-agent systems using LangGraph for seamless task coordination and adaptability.Implement stateful workflows with persistent memory for context-aware, long-running interactions.Integrate APIs, Python scripts, and custom tools with TAP for enhanced agent functionality.Leverage RAG with vector databases for knowledge-driven, contextually relevant decision-making.Build resilient agents with error handling, recovery mechanisms, and human-in-the-loop oversight.Apply real-world use cases like supply chain automation, customer support networks, and research assistants.Master debugging and observability with LangSmith for scalable, high-performance systems.With its practical, code-centric approach and focus on ethical AI design, this book is your gateway to building modular, secure, and innovative multi-agent systems that transform industries and redefine automation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published, 2025
- Softcover
- Print-on-Demand
Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail
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Paperback. Zustand: new. Paperback. The advent of autonomous AI agents powered by large language models (LLMs) marks a revolutionary shift in artificial intelligence, enabling advanced reasoning, decision-making, and dynamic interaction across industries like finance, healthcare, logistics, and beyond. Leveraging frameworks such… as LangGraph and LangChain, these agentic AI systems deliver transformative capabilities but introduce critical security challenges-including prompt injection, memory corruption, intent misalignment, and adversarial attacks-that traditional software security cannot address.Agentic AI Security: Architecting Resilient Autonomous LLM Systems for Enterprise Trust is the definitive guide for AI engineers, security architects, DevSecOps professionals, and enterprise leaders seeking to design, secure, and deploy robust autonomous LLM systems. This book provides a comprehensive agentic AI security framework, encompassing advanced threat modeling, secure prompt engineering, memory safeguards, anomaly detection, and compliance with global standards such as NIST AI RMF, OWASP GenAI Top 10, and the EU AI Act. Through structured methodologies and practical strategies, readers will master secure AI architecture, adversarial resilience, and scalable agentic workflows for production-grade enterprise environments.Key takeaways include: Architecting secure agentic AI workflows with schema-constrained prompts and guarded tool orchestrationImplementing memory integrity checks and anomaly detection for robust data handlingConducting red teaming and adversarial testing to fortify agents against sophisticated AI security threatsScaling autonomous AI systems for high-throughput enterprise applications with performance optimizationEnsuring enterprise AI compliance with auditable, governance-aligned deploymentsThis book empowers technical professionals with strategic insights and practical patterns to build trustworthy, resilient AI agents that meet the rigorous demands of modern enterprise AI ecosystems. Master agentic AI security and lead the future of secure autonomous systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
