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Aggiungi al carrelloCondizione: New. pp. 278.
Condizione: New. pp. 278.
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Aggiungi al carrelloCondizione: New. pp. 278.
EUR 72,93
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Aggiungi al carrelloCondizione: New.
EUR 73,28
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 93,80
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 280 pp. Englisch.
Da: preigu, Osnabrück, Germania
EUR 82,45
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Agentic AI | From Foundations to Frontiers | Amisha Saxena (u. a.) | Taschenbuch | Englisch | 2026 | Academic Enclave | EAN 9789348642158 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 93,80
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware 280 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 96,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Agentic AI: From Foundations to Frontiers explains the concept of intelligent systems that can act autonomously to achieve specific goals. It begins by covering the core foundations such as machine learning, natural language processing, and reinforcement learning. The book describes how AI agents perceive their environment, make decisions, and execute tasks efficiently. It also explains the architecture of agentic systems, including planning, memory, and tool integration. Various real-world applications in healthcare, education, and business are highlighted to show its practical impact. The discussion extends to advanced topics like multi-agent systems and collaborative AI environments. It emphasizes the growing role of large language models in enabling intelligent agents. Ethical considerations such as bias, safety, and accountability are also addressed. Additionally, the book explores challenges like reliability and high computational requirements. It concludes by presenting future directions where AI systems become more autonomous and transformative across industries.