Stop building chatbots. Start engineering digital workforces.
You have likely built a prototype. You’ve written a prompt, connected an API, and watched a Large Language Model (LLM) perform a task like magic. But when you try to deploy that script to production, the magic fades. The model hallucinates, the logic breaks, and the system fails to handle the chaos of the real world.
The era of the single-agent "God Model"—trying to force one prompt to do everything—is over. The future belongs to Multi-Agent Systems (MAS): networks of specialized, autonomous agents that collaborate, debate, and self-correct to solve problems complexity beyond the reach of any single model.
The Multi-Agent Systems Blueprint is not a theoretical textbook. It is a field manual for software architects, senior developers, and CTOs who are ready to bridge the gap between experimental AI and enterprise-grade engineering.
This book dismantles the hype and replaces it with rigorous architectural patterns. You will move beyond simple "prompt engineering" to master Agentic Orchestration—designing state machines, persistent memory fabrics, and fault-tolerant loops that turn unreliable models into reliable software.
Inside, you will discover how to:
Master the "Big Three" Frameworks: deep dives into LangGraph, CrewAI, and Microsoft AutoGen, helping you choose the right tool for the right topology.
Architect for Reliability: Replace fragile linear scripts with self-correcting loops using Debate Patterns, Critique-Reflect cycles, and Hierarchical Supervision.
Build "Day 2" Operations: Go beyond the code. Learn to implement Semantic Monitoring, structured logging, and Docker/Kubernetes deployment pipelines specifically tuned for agentic workloads.
Implement Real-World Swarms: Detailed code walkthroughs for building Autonomous Research Teams, Self-Healing DevOps Bots, and Intelligent Finance Auditors.
Secure Your Agents: Implement "Human-in-the-Loop" circuit breakers, Pydantic schema enforcement, and enterprise-grade guardrails to prevent hallucinations and prompt injection.
Whether you are automating invoice processing in Finance, building a semantic resume screener for HR, or designing the next generation of SaaS products, this book provides the code, the concepts, and the confidence to build systems that think.
Don’t just write scripts. Architect intelligence. Build the future of autonomous software today.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Stop building chatbots. Start engineering digital workforces.You have likely built a prototype. You've written a prompt, connected an API, and watched a Large Language Model (LLM) perform a task like magic. But when you try to deploy that script to production, the magic fades. The model hallucinates, the logic breaks, and the system fails to handle the chaos of the real world.The era of the single-agent "God Model"-trying to force one prompt to do everything-is over. The future belongs to Multi-Agent Systems (MAS): networks of specialized, autonomous agents that collaborate, debate, and self-correct to solve problems complexity beyond the reach of any single model.The Multi-Agent Systems Blueprint is not a theoretical textbook. It is a field manual for software architects, senior developers, and CTOs who are ready to bridge the gap between experimental AI and enterprise-grade engineering.This book dismantles the hype and replaces it with rigorous architectural patterns. You will move beyond simple "prompt engineering" to master Agentic Orchestration-designing state machines, persistent memory fabrics, and fault-tolerant loops that turn unreliable models into reliable software.Inside, you will discover how to: Master the "Big Three" Frameworks: deep dives into LangGraph, CrewAI, and Microsoft AutoGen, helping you choose the right tool for the right topology.Architect for Reliability: Replace fragile linear scripts with self-correcting loops using Debate Patterns, Critique-Reflect cycles, and Hierarchical Supervision.Build "Day 2" Operations: Go beyond the code. Learn to implement Semantic Monitoring, structured logging, and Docker/Kubernetes deployment pipelines specifically tuned for agentic workloads.Implement Real-World Swarms: Detailed code walkthroughs for building Autonomous Research Teams, Self-Healing DevOps Bots, and Intelligent Finance Auditors.Secure Your Agents: Implement "Human-in-the-Loop" circuit breakers, Pydantic schema enforcement, and enterprise-grade guardrails to prevent hallucinations and prompt injection.Whether you are automating invoice processing in Finance, building a semantic resume screener for HR, or designing the next generation of SaaS products, this book provides the code, the concepts, and the confidence to build systems that think.Don't just write scripts. Architect intelligence. Build the future of autonomous software today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798278613657
Cantidad disponible: 1 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Stop building chatbots. Start engineering digital workforces.You have likely built a prototype. You've written a prompt, connected an API, and watched a Large Language Model (LLM) perform a task like magic. But when you try to deploy that script to production, the magic fades. The model hallucinates, the logic breaks, and the system fails to handle the chaos of the real world.The era of the single-agent "God Model"-trying to force one prompt to do everything-is over. The future belongs to Multi-Agent Systems (MAS): networks of specialized, autonomous agents that collaborate, debate, and self-correct to solve problems complexity beyond the reach of any single model.The Multi-Agent Systems Blueprint is not a theoretical textbook. It is a field manual for software architects, senior developers, and CTOs who are ready to bridge the gap between experimental AI and enterprise-grade engineering.This book dismantles the hype and replaces it with rigorous architectural patterns. You will move beyond simple "prompt engineering" to master Agentic Orchestration-designing state machines, persistent memory fabrics, and fault-tolerant loops that turn unreliable models into reliable software.Inside, you will discover how to: Master the "Big Three" Frameworks: deep dives into LangGraph, CrewAI, and Microsoft AutoGen, helping you choose the right tool for the right topology.Architect for Reliability: Replace fragile linear scripts with self-correcting loops using Debate Patterns, Critique-Reflect cycles, and Hierarchical Supervision.Build "Day 2" Operations: Go beyond the code. Learn to implement Semantic Monitoring, structured logging, and Docker/Kubernetes deployment pipelines specifically tuned for agentic workloads.Implement Real-World Swarms: Detailed code walkthroughs for building Autonomous Research Teams, Self-Healing DevOps Bots, and Intelligent Finance Auditors.Secure Your Agents: Implement "Human-in-the-Loop" circuit breakers, Pydantic schema enforcement, and enterprise-grade guardrails to prevent hallucinations and prompt injection.Whether you are automating invoice processing in Finance, building a semantic resume screener for HR, or designing the next generation of SaaS products, this book provides the code, the concepts, and the confidence to build systems that think.Don't just write scripts. Architect intelligence. Build the future of autonomous software today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798278613657
Cantidad disponible: 1 disponibles