Albada michael (61 résultats)

Etat : acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Etat : New.

Paperback or Softback. Etat : New. Building Applications with AI Agents: Designing and Implementing Multiagent Systems. Book.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. While these applications enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks. By combining many of these actions, AI agents offer greater autonomy and efficiency, but understanding 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 multi-agent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. By the end, you'll:Understand the distinct features of foundation model-enabled AI agentsDiscover the core components and design principles of AI agentsExplore design trade-offs and implement effective multi-agent systemsDesign and deploy tailored AI solutions, enhancing efficiency and innovation in your field.…

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : new.

Paperback. Etat : New. Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. While these applications enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks. By combining many of these actions, AI agents offer greater autonomy and efficiency, but understanding 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 multi-agent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. By the end, you'll:Understand the distinct features of foundation model-enabled AI agentsDiscover the core components and design principles of AI agentsExplore design trade-offs and implement effective multi-agent systemsDesign and deploy tailored AI solutions, enhancing efficiency and innovation in your field.…

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Paperback. Etat : New. La IA generativa ha revolucionado la forma en que las organizaciones abordan los problemas, acelerando el proceso desde el concepto hasta el prototipo y la solucion. A medida que los modelos se vuelven cada vez mas capaces, hemos visto surgir un nuevo patron de diseno: los agentes de IA. Al combinar herramientas, conocimiento, memoria y aprendizaje con modelos base avanzados, ahora podemos encadenar varias inferencias de modelos para resolver problemas ambiguos y difi ciles. Desde agentes de programacion hasta agentes de investigacion, pasando por agentes analistas y mas, ya hemos visto como estos agentes aceleran el trabajo de los equipos y las organizaciones. Aunque estos agentes mejoran la eficiencia, a menudo requieren una planificacion, redaccion y revision exhaustivas para completar tareas complejas, y su implementacion sigue siendo un reto para muchas organizaciones, especialmente con el rapido avance de la tecnologi a y la investigacion.Este libro es tu gui a indispensable para navegar por este panorama complejo y en constante evolucion. El autor, Michael Albada, ofrece un enfoque practico y basado en la investigacion para disenar e implementar sistemas de un solo agente y de multiples agentes. Simplifica las complejidades y te da las herramientas para pasar del concepto a la solucion de manera eficiente.Comprende las caracteri sticas distintivas de los agentes de IA basados en modelos fundamentalesDescubre los componentes centrales y los principios de diseno de los agentes de IAExplora las decisiones de diseno e implementa sistemas multiagente eficacesDisena e implementa soluciones de IA a la medida, mejorando la eficiencia y la innovacion en tu campo.…

Etat : New.

Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Etat : As New. Unread book in perfect condition.

Etat : Neuf.

Paperback. Etat : New. La IA generativa ha revolucionado la forma en que las organizaciones abordan los problemas, acelerando el proceso desde el concepto hasta el prototipo y la solucion. A medida que los modelos se vuelven cada vez mas capaces, hemos visto surgir un nuevo patron de diseno: los agentes de IA. Al combinar herramientas, conocimiento, memoria y aprendizaje con modelos base avanzados, ahora podemos encadenar varias inferencias de modelos para resolver problemas ambiguos y difi ciles. Desde agentes de programacion hasta agentes de investigacion, pasando por agentes analistas y mas, ya hemos visto como estos agentes aceleran el trabajo de los equipos y las organizaciones. Aunque estos agentes mejoran la eficiencia, a menudo requieren una planificacion, redaccion y revision exhaustivas para completar tareas complejas, y su implementacion sigue siendo un reto para muchas organizaciones, especialmente con el rapido avance de la tecnologi a y la investigacion.Este libro es tu gui a indispensable para navegar por este panorama complejo y en constante evolucion. El autor, Michael Albada, ofrece un enfoque practico y basado en la investigacion para disenar e implementar sistemas de un solo agente y de multiples agentes. Simplifica las complejidades y te da las herramientas para pasar del concepto a la solucion de manera eficiente.Comprende las caracteri sticas distintivas de los agentes de IA basados en modelos fundamentalesDescubre los componentes centrales y los principios de diseno de los agentes de IAExplora las decisiones de diseno e implementa sistemas multiagente eficacesDisena e implementa soluciones de IA a la medida, mejorando la eficiencia y la innovacion en tu campo.…

Paperback. Etat : New.

Etat : New.

Etat : New.

Paperback. Etat : Brand New. 300 pages. 9.19x7.00x9.19 inches. In Stock.

Etat : New. In English.

Paperback. Etat : New. Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. While these applications enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks. By combining many of these actions, AI agents offer greater autonomy and efficiency, but understanding 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 multi-agent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. By the end, you'll:Understand the distinct features of foundation model-enabled AI agentsDiscover the core components and design principles of AI agentsExplore design trade-offs and implement effective multi-agent systemsDesign and deploy tailored AI solutions, enhancing efficiency and innovation in your field.…

Taschenbuch. Etat : 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 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 300 pp. Englisch. …

Taschenbuch. Etat : 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 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 300 pp. Englisch. …

Taschenbuch. Etat : 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 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. …