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Building Applications with AI Agents: Designing and Implementing Multiagent Systems

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Livraison entre le Vendredi 24 juillet 2026 et le Samedi 25 juillet 2026

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Marque : GENERIC
Vendu par KECHBOOK

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple mod...

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Description produit

Marque
GENERIC
Titre
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Éditeur
O'Reilly Media
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
10/21/2025 12:00:00 AM
Langue d'origine
English
ISBN
1098176502
Dimensions
7 x 2 x 9.19 inches
Nombre de pages
352 pages
Langue
English
Résumé
Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations. While these agents enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks, and deploying them remains a challenge for many organizations, especially as technology and research rapidly develops.This book is your indispensable guide through this intricate and fast-moving landscape. Author Michael Albada provides a practical and research-based approach to designing and implementing single- and multiagent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently.Understand the distinct features of foundation model-enabled AI agents Discover the core components and design principles of AI agents Explore design trade-offs and implement effective multiagent systems Design and deploy tailored AI solutions, enhancing efficiency and innovation in your field Read more
Auteur
Michael Albada
Date de parution
10/21/2025 12:00:00 AM