Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems- A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems - Couverture souple
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Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems- A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems
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Scaling LLM Agents (Paperback)
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Paperback. Etat : new. Paperback. Artificial intelligence is entering a new era-one defined not by static models that generate text, but by intelligent agents that retrieve knowledge, reason with context, use tools, collaborate with other agents, and learn from experience. These systems represent a fundamental shift from passive language models to autonomous, adaptive, and scalable cognitive ecosystems.Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems is a practical and forward-looking guide to building the next generation of AI systems. Written for engineers, researchers, and technical leaders, this book shows you how to transform large language models into coordinated networks of intelligent agents capable of solving complex, multi-step tasks in the real world.Through deep explanations, architectural diagrams, and hands-on mini-projects, you'll learn how to design agents that plan, coordinate, communicate, and continuously improve. You'll explore the mechanics of reinforcement learning, multi-agent orchestration, multimodal cognition, scalable deployment, safety systems, and ethical governance-with a focus on actionable engineering patterns rather than abstract theory.Inside, you'll discover how to: Build reward-driven, self-improving agents using RL and RLHFOrchestrate teams of agents with LangChain, LangGraph, and CrewAIIntegrate agents with search, spreadsheets, APIs, and automation toolsDesign multimodal agents that understand vision, speech, and textDeploy agents to production with Docker, Kubernetes, and cloud platformsMonitor performance with logging, observability, and tracing systemsImplement security, privacy, and ethical guardrails for autonomyArchitect cognitive systems that learn, adapt, and persist over timeEach chapter concludes with an "Agent in Action" mini-project, giving you a repeatable blueprint to build production-ready systems-including a fully deployed RAG-powered agent, a multimodal explainer, and a configurable research analyst capable of retrieving, summarizing, and citing real-world data.More than a technical manual, this book examines the larger transformation happening in AI. You'll explore emerging frontiers such as symbolic-neural hybrids, lifelong memory systems, cognitive architectures, and the path toward general-purpose autonomous intelligence-alongside the ethical questions and design responsibilities that accompany progress.Whether you are building a startup product, deploying enterprise agents, or exploring cutting-edge research, this book gives you the tools, clarity, and mental models to design scalable, intelligent, and trustworthy AI ecosystems.If you're ready to move beyond simple prompts and explore what happens when AI becomes collaborative, embodied, and adaptive, this book is your roadmap. 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 9798232596095
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Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems- A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems
Edité par
Richa Publishing Minds, 2025
ISBN 13 : 9798232596095
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Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Scaling LLM Agents
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798232596095
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Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems- A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems- A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems
Edité par
Richa Publishing Minds, 2025
ISBN 13 : 9798232596095
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51898473
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Scaling LLM Agents (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Artificial intelligence is entering a new era-one defined not by static models that generate text, but by intelligent agents that retrieve knowledge, reason with context, use tools, collaborate with other agents, and learn from experience. These systems represent a fundamental shift from passive language models to autonomous, adaptive, and scalable cognitive ecosystems.Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems is a practical and forward-looking guide to building the next generation of AI systems. Written for engineers, researchers, and technical leaders, this book shows you how to transform large language models into coordinated networks of intelligent agents capable of solving complex, multi-step tasks in the real world.Through deep explanations, architectural diagrams, and hands-on mini-projects, you'll learn how to design agents that plan, coordinate, communicate, and continuously improve. You'll explore the mechanics of reinforcement learning, multi-agent orchestration, multimodal cognition, scalable deployment, safety systems, and ethical governance-with a focus on actionable engineering patterns rather than abstract theory.Inside, you'll discover how to: Build reward-driven, self-improving agents using RL and RLHFOrchestrate teams of agents with LangChain, LangGraph, and CrewAIIntegrate agents with search, spreadsheets, APIs, and automation toolsDesign multimodal agents that understand vision, speech, and textDeploy agents to production with Docker, Kubernetes, and cloud platformsMonitor performance with logging, observability, and tracing systemsImplement security, privacy, and ethical guardrails for autonomyArchitect cognitive systems that learn, adapt, and persist over timeEach chapter concludes with an "Agent in Action" mini-project, giving you a repeatable blueprint to build production-ready systems-including a fully deployed RAG-powered agent, a multimodal explainer, and a configurable research analyst capable of retrieving, summarizing, and citing real-world data.More than a technical manual, this book examines the larger transformation happening in AI. You'll explore emerging frontiers such as symbolic-neural hybrids, lifelong memory systems, cognitive architectures, and the path toward general-purpose autonomous intelligence-alongside the ethical questions and design responsibilities that accompany progress.Whether you are building a startup product, deploying enterprise agents, or exploring cutting-edge research, this book gives you the tools, clarity, and mental models to design scalable, intelligent, and trustworthy AI ecosystems.If you're ready to move beyond simple prompts and explore what happens when AI becomes collaborative, embodied, and adaptive, this book is your roadmap. 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 9798232596095
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Scaling LLM Agents (Paperback)
impression à la demandeVendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Artificial intelligence is entering a new era-one defined not by static models that generate text, but by intelligent agents that retrieve knowledge, reason with context, use tools, collaborate with other agents, and learn from experience. These systems represent a fundamental shift from passive language models to autonomous, adaptive, and scalable cognitive ecosystems.Scaling LLM Agents: Distributed Cognition & Multi-Agent Ecosystems is a practical and forward-looking guide to building the next generation of AI systems. Written for engineers, researchers, and technical leaders, this book shows you how to transform large language models into coordinated networks of intelligent agents capable of solving complex, multi-step tasks in the real world.Through deep explanations, architectural diagrams, and hands-on mini-projects, you'll learn how to design agents that plan, coordinate, communicate, and continuously improve. You'll explore the mechanics of reinforcement learning, multi-agent orchestration, multimodal cognition, scalable deployment, safety systems, and ethical governance-with a focus on actionable engineering patterns rather than abstract theory.Inside, you'll discover how to: Build reward-driven, self-improving agents using RL and RLHFOrchestrate teams of agents with LangChain, LangGraph, and CrewAIIntegrate agents with search, spreadsheets, APIs, and automation toolsDesign multimodal agents that understand vision, speech, and textDeploy agents to production with Docker, Kubernetes, and cloud platformsMonitor performance with logging, observability, and tracing systemsImplement security, privacy, and ethical guardrails for autonomyArchitect cognitive systems that learn, adapt, and persist over timeEach chapter concludes with an "Agent in Action" mini-project, giving you a repeatable blueprint to build production-ready systems-including a fully deployed RAG-powered agent, a multimodal explainer, and a configurable research analyst capable of retrieving, summarizing, and citing real-world data.More than a technical manual, this book examines the larger transformation happening in AI. You'll explore emerging frontiers such as symbolic-neural hybrids, lifelong memory systems, cognitive architectures, and the path toward general-purpose autonomous intelligence-alongside the ethical questions and design responsibilities that accompany progress.Whether you are building a startup product, deploying enterprise agents, or exploring cutting-edge research, this book gives you the tools, clarity, and mental models to design scalable, intelligent, and trustworthy AI ecosystems.If you're ready to move beyond simple prompts and explore what happens when AI becomes collaborative, embodied, and adaptive, this book is your roadmap. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798232596095
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Scaling LLM Agents | Distributed Cognition & Multi-Agent Ecosystems- A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Scaling LLM Agents | Distributed Cognition & Multi-Agent Ecosystems- A Practical Guide to Architecting Collaborative, Tool-Driven, and Self-Optimizing AI Systems | Mira S. Devlin | Taschenbuch | Englisch | 2025 | Richa Publishing Minds | EAN 9798232596095 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134342450
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