Mastering Multi-Agent Frameworks: A Deep Dive into CrewAI, LangGraph, and AutoGen (45 résultats)

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Paperback. Etat : new. Paperback. A Comprehensive Guide to Multi-Agent Systems for Real-World Applications Unleash the full potential of multi-agent systems (MAS) with this comprehensive, hands-on guide to AutoGen, the framework that's transforming industries through collaborative, intelligent agents. Whether you're a beginner eager to dive into autonomous agents or an experienced developer looking to refine your skills, this second edition offers clear, professional insights and practical applications that will empower you to create cutting-edge solutions with AutoGen.In this updated and expanded edition, you'll discover: Foundations of Multi-Agent Systems: Understand the core concepts of autonomous agents, task allocation, and collaborative problem-solving to build efficient and scalable systems.Building and Managing AutoGen Agents: Learn to design agents with specific knowledge and skills, optimizing for both autonomy and collaboration. Dive deep into agent architecture and communication strategies.Real-World Applications: From autonomous transportation systems to smart manufacturing, explore how AutoGen is revolutionizing industries. Each chapter is filled with case studies that demonstrate how multi-agent systems solve complex real-world problems.Optimizing and Scaling Multi-Agent Systems: Enhance the performance, security, and sustainability of your systems with advanced techniques in resource management, load balancing, and AI-driven decision-making.Ethical and Security Considerations: Address the challenges of AI ethics, data security, and bias mitigation in multi-agent collaboration.Interactive Tools and Community Engagement: Gain access to coding challenges, virtual labs, and community-driven initiatives to further your learning and connect with fellow enthusiasts.New in the Second Edition: Expanded coverage of advanced topics such as Internet of Things (IoT) integration, blockchain for decentralized agents, and augmented reality (AR/VR) applications with multi-agent systems.Real-time data processing techniques and applications in sectors like finance, healthcare, and public services.Updated examples, tools, and case studies reflecting the latest advancements in the field.What You'll Learn: Theoretical foundations of multi-agent systems and how they function in collaboration.Practical steps for setting up AutoGen systems, creating agents, and integrating them with external tools.Techniques for optimizing agent behavior, handling high-volume data, and scaling systems across complex networks.How to manage and integrate blockchain, IoT devices, and machine learning with your MAS applications.Why This Book? This book is perfect for developers, AI enthusiasts, and professionals looking to master AutoGen and multi-agent systems. Whether you're building the next generation of autonomous vehicles, developing smart cities, or optimizing business workflows, this book provides the knowledge and tools you need to succeed. Each chapter includes step-by-step instructions, code examples, and real-world case studies to reinforce your learning and help you apply your knowledge immediately.Who Should Read This Book?Software developers and engineers working with autonomous systems.AI enthusiasts and researchers looking to delve into multi-agent systems.Professionals in transportation, manufacturing, healthcare, finance, and logistics seeking practical applications for MAS.Students studying AI, machine learning, and robotics who want a hands-on, practical introduction to multi-agent collaboration.Embark on your journey to mastering AutoGen and multi-agent systems today, and start creat Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Etat : As New. Unread book in perfect condition.

Paperback. Etat : new. Paperback. A Comprehensive Guide to Multi-Agent Systems for Real-World Applications Unleash the full potential of multi-agent systems (MAS) with this comprehensive, hands-on guide to AutoGen, the framework that's transforming industries through collaborative, intelligent agents. Whether you're a beginner eager to dive into autonomous agents or an experienced developer looking to refine your skills, this second edition offers clear, professional insights and practical applications that will empower you to create cutting-edge solutions with AutoGen.In this updated and expanded edition, you'll discover: Foundations of Multi-Agent Systems: Understand the core concepts of autonomous agents, task allocation, and collaborative problem-solving to build efficient and scalable systems.Building and Managing AutoGen Agents: Learn to design agents with specific knowledge and skills, optimizing for both autonomy and collaboration. Dive deep into agent architecture and communication strategies.Real-World Applications: From autonomous transportation systems to smart manufacturing, explore how AutoGen is revolutionizing industries. Each chapter is filled with case studies that demonstrate how multi-agent systems solve complex real-world problems.Optimizing and Scaling Multi-Agent Systems: Enhance the performance, security, and sustainability of your systems with advanced techniques in resource management, load balancing, and AI-driven decision-making.Ethical and Security Considerations: Address the challenges of AI ethics, data security, and bias mitigation in multi-agent collaboration.Interactive Tools and Community Engagement: Gain access to coding challenges, virtual labs, and community-driven initiatives to further your learning and connect with fellow enthusiasts.New in the Second Edition: Expanded coverage of advanced topics such as Internet of Things (IoT) integration, blockchain for decentralized agents, and augmented reality (AR/VR) applications with multi-agent systems.Real-time data processing techniques and applications in sectors like finance, healthcare, and public services.Updated examples, tools, and case studies reflecting the latest advancements in the field.What You'll Learn: Theoretical foundations of multi-agent systems and how they function in collaboration.Practical steps for setting up AutoGen systems, creating agents, and integrating them with external tools.Techniques for optimizing agent behavior, handling high-volume data, and scaling systems across complex networks.How to manage and integrate blockchain, IoT devices, and machine learning with your MAS applications.Why This Book? This book is perfect for developers, AI enthusiasts, and professionals looking to master AutoGen and multi-agent systems. Whether you're building the next generation of autonomous vehicles, developing smart cities, or optimizing business workflows, this book provides the knowledge and tools you need to succeed. Each chapter includes step-by-step instructions, code examples, and real-world case studies to reinforce your learning and help you apply your knowledge immediately.Who Should Read This Book?Software developers and engineers working with autonomous systems.AI enthusiasts and researchers looking to delve into multi-agent systems.Professionals in transportation, manufacturing, healthcare, finance, and logistics seeking practical applications for MAS.Students studying AI, machine learning, and robotics who want a hands-on, practical introduction to multi-agent collaboration.Embark on your journey to mastering AutoGen and multi-agent systems today, an Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Etat : new. Paperback. Crew AI in Action: A Hands-On Guide to Building and Managing Multi-Agent Systems for Advanced Automation (2nd Edition)Unlock the power of multi-agent AI with this comprehensive, practical guide to building and managing complex, autonomous systems. In Crew AI in Action: A Hands-On Guide to Building and Managing Multi-Agent Systems for Advanced Automation (2nd Edition), you'll explore how to design, implement, and optimize intelligent agents that collaborate and operate seamlessly within dynamic environments.This second edition builds on the original, adding updated content, new real-world case studies, and enhanced examples to ensure you stay ahead of the curve in the rapidly evolving world of AI-driven automation.What You'll Learn: Foundations of Multi-agent AI: Understand the core concepts of multi-agent systems, including agent behaviors, communication, coordination, and decision-making strategies.Building Agent Teams: Learn how to design, deploy, and manage collaborative teams of autonomous agents, handling task allocation, teamwork, and conflict resolution.Advanced Agent Learning and Adaptation: Dive into reinforcement learning, adaptive behaviors, and the techniques that allow agents to improve their performance over time.Real-World Applications: Discover how multi-agent AI systems are transforming industries like logistics, healthcare, robotics, and finance, with in-depth case studies and examples.Ethical and Governance Considerations: Gain insights into the ethical challenges of AI and the best practices for creating responsible, accountable, and fair systems.Features of the Book: Step-by-Step Guidance: Clear, concise instructions for building multi-agent AI systems from scratch.Practical Code Examples: Hands-on projects and real-world code that you can implement and experiment with, based on open-source tools like Mesa, TensorFlow, PyTorch, and OpenAI Gym.Interactive Exercises and Reflection Questions: Engage with the material through quizzes, exercises, and questions that reinforce key concepts and encourage further exploration.Ethical Guidelines for AI Development: Ethical frameworks and best practices to ensure your projects are built responsibly and sustainably.Future-Proof Content: Stay ahead of the latest trends in AI, including the integration of blockchain, quantum computing, and edge computing in multi-agent systems.Whether you are a developer, researcher, or AI enthusiast, this book will provide the knowledge, tools, and inspiration you need to create intelligent, scalable multi-agent systems that can tackle real-world challenges.Why This Book Is a Must-Have: Perfect for both beginners and advanced practitioners in AI and automation, with clear explanations, practical advice, and in-depth analysis.Updated content reflects the latest developments in AI technology, including reinforcement learning, distributed systems, and cloud-based deployments.Learn from the author's real-world experience, with insights and tips from projects involving autonomous robots, intelligent transportation systems, and more.Prepare to take your AI skills to the next level. Whether you're working on autonomous systems, robotic teams, or complex decision-making systems, Crew AI in Action provides the roadmap to success. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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