Context engineering multi agent systems di denis rothman (30 risultati)
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Da: Goodbooks Company, Springdale, AR, U.S.A.Goodbooks Company
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Condizione: good. Has a sturdy binding with some shelf wear. May have some markings or highlighting. Used copies may not include access codes or Cd's. Slight bending may be present.
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
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Paperback or Softback. Condizione: New. Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning. Book.
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Da: California Books, Miami, FL, U.S.A.California Books
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
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Paperback or Softback. Condizione: New. Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning. Book.
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Da: California Books, Miami, FL, U.S.A.California Books
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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,37
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Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 68,43
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Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 61,86
EUR 6,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 75,70
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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EUR 64,16
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Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,68
EUR 42,83 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 61,31
EUR 75,98 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 76,00
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Taschenbuch. Condizione: Neu. Neuware - This book helps you transform unpredictable AI into reliable systems by building a Context Engine, a transparent, multi-agent architecture that replaces fragile prompts with structured context engineering and adapts seamlessly across domains.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,21
EUR 75,98 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI structured, goal-…driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI struct…ured, goal-driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system youll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, youll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, youll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. Youll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, youll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards. This book helps you transform unpredictable AI into reliable systems by building a Context Engine, a transparent, multi-agent architecture that replaces fragile prompts with structured context engineering and adapts seamlessly across domains. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesDesign semantic blueprints to give AI struct…ured, goal-driven contextual awarenessOrchestrate multi-agent workflows with MCP for adaptable, context-rich reasoningEngineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system youll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, youll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, youll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. Youll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, youll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.*Email sign-up and proof of purchase requiredWhat you will learnDevelop memory models to retain short-term and cross-session contextCraft semantic blueprints and drive multi-agent orchestration with MCPImplement high-fidelity RAG pipelines with verifiable citationsApply safeguards against prompt injection and data poisoningEnforce moderation and policy-driven control in AI workflowsRepurpose the Context Engine across legal, marketing, and beyondDeploy a scalable, observable Context Engine in productionWho this book is forThis book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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EUR 69,05
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Context Engineering for Multi-Agent Systems | Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning | Denis Rothman | Taschenbuch | Englisch | 2025 | Packt Publishing | EAN 9781806690053 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36…244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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EUR 84,00
EUR 63,67 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context EngineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader\*…Key Features: Design semantic blueprints to give AI structured, goal-driven contextual awareness Orchestrate multi-agent workflows with MCP for adaptable, context-rich reasoning Engineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguardsBook Description:Generative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you'll learn to design and apply across real-world scenarios.Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you'll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you'll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You'll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.By the end of this book, you'll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.\*Email sign-up and proof of purchase requiredWhat You Will Learn: Develop memory models to retain short-term and cross-session context Craft semantic blueprints and drive multi-agent orchestration with MCP Implement high-fidelity RAG pipelines with verifiable citations Apply safeguards against prompt injection and data poisoning Enforce moderation and policy-driven control in AI workflows Repurpose the Context Engine across legal, marketing, and beyond Deploy a scalable, observable Context Engine in productionWho this book is for:This book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.Table of Contents The Semantic Blueprint: From Prompt to Context Building a Multi-Agent System with MCP Building the Context-Aware Multi-Agent System Assembling the Context Engine Hardening the Context Engine Building the Summarizer Agent for Context Reduction High-Fidelity RAG and Defense: The NASA-Inspired Research Assistant Architecting for Reality: Moderation, Latency, and Policy-Driven AI Architecting for Brand and Agility: The Strategic Marketing Engine The Blueprint for Production-Ready AI.
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 107,65
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Context Engineering for Multi-Agent Systems | Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning | Denis Rothman | Taschenbuch | Englisch | 2025 | Packt Publishing | EAN 9781807304195 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36…244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
