9781098176501 - building applications with ai agents: designing and implementing multi-agent systems von albada, michael (12 Ergebnisse)
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Zustand: New. 2025. paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Zustand: Neu. Building Applications with AI Agents | Designing and Implementing Multi-Agent Systems | Michael Albada | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | O'Reilly Media | EAN 9781098176501 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]…de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Neuware -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 adva…nced 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 fieldLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 300 pp. Englisch.
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Taschenbuch. Zustand: Neu. Neuware - 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 adv…anced 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.
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Taschenbuch. Zustand: Neu. Neuware -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 adva…nced 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 300 pp. Englisch.
