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Paperback. Condición: New.

Paperback. Condición: new. Paperback. The Agentic AI Security & Systems Engineering Series explores the cutting edge of autonomous large language models (LLMs), multi-agent coordination, and secure system deployment in enterprise environments.Each volume dives deep into the design, protection, and governance of agentic AI, blending the disciplines of cybersecurity, distributed systems, and applied machine learning.Written by experts for professionals, the series provides actionable architectures, real-world security frameworks, and rigorous implementation guides built on LangGraph, LangChain, and modern AI orchestration stacks.From adversarial threat modeling to schema-bound reasoning and compliance enforcement, these books equip engineers and architects to build AI systems that are not only intelligent-but resilient, verifiable, and secure. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Volume II - Advanced Deep Learning with Modern C++Architecting, Training, and Deploying Neural Systems with PyTorch C++, Flashlight, and ONNXMaster the cutting edge of high-performance deep learning engineering with Modern C++. This advanced volume takes you far beyond Python workflows, showing you how to design, optimize, and deploy neural systems directly in C++ using PyTorch's C++ API, Facebook's Flashlight framework, and ONNX Runtime.From classic architectures like CNNs and RNNs to state-of-the-art Transformers, you'll learn how to implement, train, and fine-tune models with full control over memory, performance, and execution. The book explores mixed-precision training, model quantization, distributed training strategies, and advanced optimization techniques tailored for production-grade systems.You'll also build complete inference pipelines, mastering ONNX export, runtime integration, CUDA acceleration, cuDNN optimizations, and TensorRT deployment for real-time, low-latency applications. Every chapter is designed to help experienced developers engineer deep learning systems that are fast, scalable, and production ready.Keywords: deep learning with C++, PyTorch C++ frontend, neural network engineering, ONNX Runtime, Flashlight AI, CUDA optimization, Transformer models, CNNs, RNNs, model quantization, TensorRT deployment, GPU computing, high-performance AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Standardize Communication and Control Across Distributed Intelligent WorkflowsAI systems break when they can't communicate. Multi-agent environments require shared language, consistent message structures, and unified expectations - or everything collapses into chaos.JSON Protocols for Next-Gen AI Agents reveals how to design standardized communication channels for intelligent systems that must collaborate, coordinate, and act with confidence.What you'll master inside: Protocol-first workflow design to eliminate misaligned agent behaviorJSON-based command, response, and state-sync structuresResilient multi-agent communication models with automated negotiationFault-tolerant rules for error reporting, escalation, and fallbackCross-platform interoperability for real API and tool integrationFrom intelligent automation networks to AI-powered business systems, this book delivers the communication layer required for scalable, distributed intelligence.Build AI ecosystems that think together - and work together. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Secure LangGraph Agents focuses on the architectural layer of trust-how to design and deploy agentic workflows that are safe, predictable, and compliant at scale.Building on the principles introduced in Securing Agentic AI, this volume goes deeper into schema-bound reasoning, controlled tool use, and resilient multi-agent coordination.You'll explore how to create machine-actionable workflows that enforce safety and correctness through declarative design and schema validation. Learn how to integrate structured reasoning layers, protect tool invocation boundaries, and govern stateful agent behavior using LangGraph's event-driven execution model.Key topics include: Designing schema-bound reasoning systems with verifiable logic flowsManaging and securing toolchains across distributed agent networksScaling LangGraph deployments with observability, monitoring, and governance layersBuilding enterprise-grade pipelines for regulated environmentsThis book bridges AI systems engineering with enterprise reliability, offering the blueprint for organizations ready to operationalize intelligent, compliant, and trustworthy agentic systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Unified Specifications for Reliable Tool Usage and Machine-Actionable OutputAre your AI agents generating inconsistent results? Does every workflow require manual fixes and guesswork just to function? It's time to enforce structure and reliability at the source.JSON Standards for Autonomous AI Agents gives developers the blueprint for precision, control, and automation-ready output. Instead of relying on unpredictable free-form responses, you'll learn how to engineer schema-driven intelligence that always aligns with your system requirements.In this practical guide, you will learn how to: Enforce predictable outputs using standards that AI cannot ignoreModel intelligent behaviors with machine-actionable JSON designImprove tool use success rates with clear execution instructionsValidate responses with automated error detection and recoveryBuild a foundation for scalable, auditable AI decision-makingWhether you're deploying agents in customer support, data operations, or enterprise automation, you'll establish structured output as a non-negotiable requirement.If you're ready to unlock error-proof AI workflows, this is where your transformation begins. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand.

Paperback. Condición: New.

Paperback. Condición: new. Paperback. The Agentic AI Security & Systems Engineering Series explores the cutting edge of autonomous large language models (LLMs), multi-agent coordination, and secure system deployment in enterprise environments.Each volume dives deep into the design, protection, and governance of agentic AI, blending the disciplines of cybersecurity, distributed systems, and applied machine learning.Written by experts for professionals, the series provides actionable architectures, real-world security frameworks, and rigorous implementation guides built on LangGraph, LangChain, and modern AI orchestration stacks.From adversarial threat modeling to schema-bound reasoning and compliance enforcement, these books equip engineers and architects to build AI systems that are not only intelligent-but resilient, verifiable, and secure. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Volume II - Advanced Deep Learning with Modern C++Architecting, Training, and Deploying Neural Systems with PyTorch C++, Flashlight, and ONNXMaster the cutting edge of high-performance deep learning engineering with Modern C++. This advanced volume takes you far beyond Python workflows, showing you how to design, optimize, and deploy neural systems directly in C++ using PyTorch's C++ API, Facebook's Flashlight framework, and ONNX Runtime.From classic architectures like CNNs and RNNs to state-of-the-art Transformers, you'll learn how to implement, train, and fine-tune models with full control over memory, performance, and execution. The book explores mixed-precision training, model quantization, distributed training strategies, and advanced optimization techniques tailored for production-grade systems.You'll also build complete inference pipelines, mastering ONNX export, runtime integration, CUDA acceleration, cuDNN optimizations, and TensorRT deployment for real-time, low-latency applications. Every chapter is designed to help experienced developers engineer deep learning systems that are fast, scalable, and production ready.Keywords: deep learning with C++, PyTorch C++ frontend, neural network engineering, ONNX Runtime, Flashlight AI, CUDA optimization, Transformer models, CNNs, RNNs, model quantization, TensorRT deployment, GPU computing, high-performance AI 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.

Paperback. Condición: new. Paperback. Secure LangGraph Agents focuses on the architectural layer of trust-how to design and deploy agentic workflows that are safe, predictable, and compliant at scale.Building on the principles introduced in Securing Agentic AI, this volume goes deeper into schema-bound reasoning, controlled tool use, and resilient multi-agent coordination.You'll explore how to create machine-actionable workflows that enforce safety and correctness through declarative design and schema validation. Learn how to integrate structured reasoning layers, protect tool invocation boundaries, and govern stateful agent behavior using LangGraph's event-driven execution model.Key topics include: Designing schema-bound reasoning systems with verifiable logic flowsManaging and securing toolchains across distributed agent networksScaling LangGraph deployments with observability, monitoring, and governance layersBuilding enterprise-grade pipelines for regulated environmentsThis book bridges AI systems engineering with enterprise reliability, offering the blueprint for organizations ready to operationalize intelligent, compliant, and trustworthy agentic 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.

Paperback. Condición: new. Paperback. Standardize Communication and Control Across Distributed Intelligent WorkflowsAI systems break when they can't communicate. Multi-agent environments require shared language, consistent message structures, and unified expectations - or everything collapses into chaos.JSON Protocols for Next-Gen AI Agents reveals how to design standardized communication channels for intelligent systems that must collaborate, coordinate, and act with confidence.What you'll master inside: Protocol-first workflow design to eliminate misaligned agent behaviorJSON-based command, response, and state-sync structuresResilient multi-agent communication models with automated negotiationFault-tolerant rules for error reporting, escalation, and fallbackCross-platform interoperability for real API and tool integrationFrom intelligent automation networks to AI-powered business systems, this book delivers the communication layer required for scalable, distributed intelligence.Build AI ecosystems that think together - and work together. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Unified Specifications for Reliable Tool Usage and Machine-Actionable OutputAre your AI agents generating inconsistent results? Does every workflow require manual fixes and guesswork just to function? It's time to enforce structure and reliability at the source.JSON Standards for Autonomous AI Agents gives developers the blueprint for precision, control, and automation-ready output. Instead of relying on unpredictable free-form responses, you'll learn how to engineer schema-driven intelligence that always aligns with your system requirements.In this practical guide, you will learn how to: Enforce predictable outputs using standards that AI cannot ignoreModel intelligent behaviors with machine-actionable JSON designImprove tool use success rates with clear execution instructionsValidate responses with automated error detection and recoveryBuild a foundation for scalable, auditable AI decision-makingWhether you're deploying agents in customer support, data operations, or enterprise automation, you'll establish structured output as a non-negotiable requirement.If you're ready to unlock error-proof AI workflows, this is where your transformation begins. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.