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.
Inside, 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 systems
Build Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases for precision, reliability, and depth
Orchestrate multi-agent AI systems that collaborate like virtual research teams, analysts, and operators
Automate high-value knowledge work, including research, publishing, strategy, and decision support
Design enterprise-grade architectures with security, compliance, and maintainability in mind
Future-proof your AI systems for multi-modal agents, autonomous workflows, robotics integration, and AGI-ready design
This 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 maps
Practical frameworks and workflow patterns
Real-world case studies across business, research, and creative domains
Hands-on exercises that reinforce system thinking
Playbooks for scaling, iteration, and long-term maintenance
You will learn how to move from isolated AI interactions to repeatable, resilient systems that continue to create value long after they are deployed.
This book is ideal for:
AI practitioners and engineers
Developers and system designers
Researchers and technical strategists
Founders, consultants, and product leaders
Advanced professionals already using AI—and ready to master the next level
If 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.
AI 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : 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. N° de réf. du vendeur 9798265591432
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Paperback. Etat : new. Paperback. Artificial Intelligence is no longer a novelty-it's infrastructure. For advanced users, the question is no longer "Can I use AI?" but "How do I design, scale, and sustain AI systems that deliver real impact?"AI & Language Systems is the definitive guide for experts ready to move beyond basic prompting and into the architecture of Large Language Model (LLM) workflows. Written for practitioners who already understand the power of ChatGPT, Claude, Gemini, and open-source LLMs, this book equips you to think not as an operator, but as a system architect.Inside, you'll discover how to: Engineer robust workflows that combine text, vision, audio, and code models.Design retrieval-augmented generation (RAG) pipelines with embeddings and vector databases for precision and depth.Orchestrate multi-agent systems that collaborate like virtual research or product teams.Automate knowledge work with publishing engines, research assistants, and strategy forecasters.Scale for business and enterprise with secure, compliant, and maintainable architectures.Future-proof your systems for the era of multi-modal agents, robotics integration, and AGI-ready design.More than theory, this book delivers case studies, system maps, practical exercises, and implementation blueprints. Each chapter walks you from concept to deployment, empowering you to build systems that don't just save time, but create value at scale.If you're a professional already using AI tools but hungry to master the next level-whether as a developer, strategist, researcher, or entrepreneur-this book will help you stay ahead of the curve and become truly irreplaceable in the age of intelligent machines. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798265591432
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Paperback. Etat : New. N° de réf. du vendeur LU-9798265591432
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