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Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. AI Is No Longer an Experiment. It Is Infrastructure.Artificial intelligence has moved beyond novelty and hype-it now underpins how modern organizations think, build, and operate. For advanced users, the real question is no longer "Can I use AI?" but: How do I design, scale, and sustain AI systems that deliver real, repeatable impact?AI & Language Systems: Designing LLM Workflows for Experts is the definitive guide for professionals ready to move beyond basic prompting and into system-level AI architecture.This book is written for practitioners who already understand the power of modern large language models-ChatGPT, Claude, Gemini, and open-source LLMs-but want to think and operate at a higher level: not as users, but as architects.What This Book Teaches YouInside, you'll learn how to design AI systems that are robust, scalable, and production-ready: Engineer advanced LLM workflows that combine text, vision, audio, and code models into cohesive systemsBuild Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases for precision, reliability, and depthOrchestrate multi-agent AI systems that collaborate like virtual research teams, analysts, and operatorsAutomate high-value knowledge work, including research, publishing, strategy, and decision supportDesign enterprise-grade architectures with security, compliance, and maintainability in mindFuture-proof your AI systems for multi-modal agents, autonomous workflows, robotics integration, and AGI-ready designFrom Concept to Deployment-Not Theory AloneThis is not a collection of prompt tricks or surface-level tutorials.Each chapter walks you from first principles to real implementation, using: System blueprints and architecture mapsPractical frameworks and workflow patternsReal-world case studies across business, research, and creative domainsHands-on exercises that reinforce system thinkingPlaybooks for scaling, iteration, and long-term maintenanceYou will learn how to move from isolated AI interactions to repeatable, resilient systems that continue to create value long after they are deployed.Who This Book Is ForThis book is ideal for: AI practitioners and engineersDevelopers and system designersResearchers and technical strategistsFounders, consultants, and product leadersAdvanced professionals already using AI-and ready to master the next levelIf you are comfortable with AI tools but want to design workflows, not just run prompts, this book will fundamentally change how you think about and build with AI.Why This Book MattersAI advantage no longer comes from access to tools-it comes from system design.Those who can architect intelligent workflows, orchestrate agents, and scale AI responsibly will define the next era of knowledge work.AI & Language Systems gives you the mindset, frameworks, and execution models to do exactly that.If you want to stay ahead of the curve-and become genuinely irreplaceable in the age of intelligent machines-this book is your blueprint. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Unlock the Future of Intelligence-Where Artificial and Quantum Meet.While headlines celebrate breakthroughs in AI and the promise of quantum computing, few understand how these technologies will converge-or what it takes to engineer real, production-grade systems at their intersection.The Quantum-AI Nexus is the definitive guide for professionals building the next generation of intelligent infrastructure. Written for AI engineers, quantum developers, system architects, and visionary tech leaders, this book explores how classical and quantum technologies can be fused into high-performance, scalable, and explainable hybrid systems.Whether you're optimizing drug discovery pipelines, designing quantum-aware neural networks, or planning your organization's post-LLM strategy, this book offers what you won't find in white papers or marketing decks: an actionable, engineering-centric roadmap to hybrid intelligence.Inside, You'll Discover: The Four Pillars of Hybrid AI: Architecture, integration, optimization, and sustainability-explained through real-world examples and practical design frameworks.Hands-On Quantum Knowledge (Without the Hype): Understand superposition, entanglement, qubits, gates, and variational circuits from an AI engineer's perspective-clear, applied, and free of unnecessary theory.The Hybrid Workflow Blueprint: A full-stack view of modern hybrid AI systems-from classical preprocessing and quantum circuit execution to scalable serving, orchestration, and CI/CD deployment.Advanced Use Cases That Matter: Explore how hybrid systems reduce molecular search time in biotech, optimize logistics, accelerate portfolio simulation, and model climate systems at new levels of granularity.Tools & Code That Work: Navigate today's leading toolkits-including Qiskit, PennyLane, Cirq, and TensorFlow Quantum-with guidance on when, why, and how to use them in production.Governance, Drift, and Security: Go beyond prototypes with strategies for monitoring hybrid models, mitigating quantum noise, and staying compliant with emerging standards in quantum security and data governance.Roadmap to 2030: From quantum-accelerated LLMs to autonomous quantum agents, get a forward-looking perspective on what's coming-and how to prepare.Who This Book Is ForAI Engineers & ML Practitioners building beyond large language modelsQuantum Developers transitioning from circuits to real-world workflowsCTOs, Architects & Tech Leads exploring enterprise hybrid infrastructureSTEM Students & Researchers seeking an applied, systems-level perspectiveInnovators & Technologists interested in where computing is headed nextIf you're ready to move beyond hype and into hybrid engineering, The Quantum-AI Nexus offers both the vision and the tools to help you build what comes next. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. AI Is No Longer an Experiment. It Is Infrastructure.Artificial intelligence has moved beyond novelty and hype-it now underpins how modern organizations think, build, and operate. For advanced users, the real question is no longer "Can I use AI?" but: How do I design, scale, and sustain AI systems that deliver real, repeatable impact?AI & Language Systems: Designing LLM Workflows for Experts is the definitive guide for professionals ready to move beyond basic prompting and into system-level AI architecture.This book is written for practitioners who already understand the power of modern large language models-ChatGPT, Claude, Gemini, and open-source LLMs-but want to think and operate at a higher level: not as users, but as architects.What This Book Teaches YouInside, you'll learn how to design AI systems that are robust, scalable, and production-ready: Engineer advanced LLM workflows that combine text, vision, audio, and code models into cohesive systemsBuild Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases for precision, reliability, and depthOrchestrate multi-agent AI systems that collaborate like virtual research teams, analysts, and operatorsAutomate high-value knowledge work, including research, publishing, strategy, and decision supportDesign enterprise-grade architectures with security, compliance, and maintainability in mindFuture-proof your AI systems for multi-modal agents, autonomous workflows, robotics integration, and AGI-ready designFrom Concept to Deployment-Not Theory AloneThis is not a collection of prompt tricks or surface-level tutorials.Each chapter walks you from first principles to real implementation, using: System blueprints and architecture mapsPractical frameworks and workflow patternsReal-world case studies across business, research, and creative domainsHands-on exercises that reinforce system thinkingPlaybooks for scaling, iteration, and long-term maintenanceYou will learn how to move from isolated AI interactions to repeatable, resilient systems that continue to create value long after they are deployed.Who This Book Is ForThis book is ideal for: AI practitioners and engineersDevelopers and system designersResearchers and technical strategistsFounders, consultants, and product leadersAdvanced professionals already using AI-and ready to master the next levelIf you are comfortable with AI tools but want to design workflows, not just run prompts, this book will fundamentally change how you think about and build with AI.Why This Book MattersAI advantage no longer comes from access to tools-it comes from system design.Those who can architect intelligent workflows, orchestrate agents, and scale AI responsibly will define the next era of knowledge work.AI & Language Systems gives you the mindset, frameworks, and execution models to do exactly that.If you want to stay ahead of the curve-and become genuinely irreplaceable in the age of intelligent machines-this book is your blueprint. 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. Condizione: new. Paperback. Unlock the Future of Intelligence-Where Artificial and Quantum Meet.While headlines celebrate breakthroughs in AI and the promise of quantum computing, few understand how these technologies will converge-or what it takes to engineer real, production-grade systems at their intersection.The Quantum-AI Nexus is the definitive guide for professionals building the next generation of intelligent infrastructure. Written for AI engineers, quantum developers, system architects, and visionary tech leaders, this book explores how classical and quantum technologies can be fused into high-performance, scalable, and explainable hybrid systems.Whether you're optimizing drug discovery pipelines, designing quantum-aware neural networks, or planning your organization's post-LLM strategy, this book offers what you won't find in white papers or marketing decks: an actionable, engineering-centric roadmap to hybrid intelligence.Inside, You'll Discover: The Four Pillars of Hybrid AI: Architecture, integration, optimization, and sustainability-explained through real-world examples and practical design frameworks.Hands-On Quantum Knowledge (Without the Hype): Understand superposition, entanglement, qubits, gates, and variational circuits from an AI engineer's perspective-clear, applied, and free of unnecessary theory.The Hybrid Workflow Blueprint: A full-stack view of modern hybrid AI systems-from classical preprocessing and quantum circuit execution to scalable serving, orchestration, and CI/CD deployment.Advanced Use Cases That Matter: Explore how hybrid systems reduce molecular search time in biotech, optimize logistics, accelerate portfolio simulation, and model climate systems at new levels of granularity.Tools & Code That Work: Navigate today's leading toolkits-including Qiskit, PennyLane, Cirq, and TensorFlow Quantum-with guidance on when, why, and how to use them in production.Governance, Drift, and Security: Go beyond prototypes with strategies for monitoring hybrid models, mitigating quantum noise, and staying compliant with emerging standards in quantum security and data governance.Roadmap to 2030: From quantum-accelerated LLMs to autonomous quantum agents, get a forward-looking perspective on what's coming-and how to prepare.Who This Book Is ForAI Engineers & ML Practitioners building beyond large language modelsQuantum Developers transitioning from circuits to real-world workflowsCTOs, Architects & Tech Leads exploring enterprise hybrid infrastructureSTEM Students & Researchers seeking an applied, systems-level perspectiveInnovators & Technologists interested in where computing is headed nextIf you're ready to move beyond hype and into hybrid engineering, The Quantum-AI Nexus offers both the vision and the tools to help you build what comes next. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…