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Beschreibung
Introduction.- Prompt Chaining.- Routing.- Parallelization.- Reflection.- Tool Use.- Planning.- Multi-Agent.- Memory Management.- Learning and Adaptation.- Model Context Protocol (MCP).- Goal Setting And Monitoring.- Exception Handling and Recovery.- Human-in-the-Loop.- Knowledge Retrieval (RAG).- Inter-Agent Communication (A2A).- Resource-Aware Optimization.- Reasoning Techniques.- Guardrails/Safety Patterns.- Evaluation and Monitoring.- Prioritzation.- Exploration and Discovery.- Appendix.
Introduction.- Prompt Chaining.- Routing.- Parallelization.- Reflection.- Tool Use.- Planning.- Multi-Agent.- Memory Management.- Learning and Adaptation.- Model Context Protocol (MCP).- Goal Setting And Monitoring.- Exception Handling and Recovery.- Human-in-the-Loop.- Knowledge Retrieval (RAG).- Inter-Agent Communication (A2A).- Resource-Aware Optimization.- Reasoning Techniques.- Guardrails/Safety Patterns.- Evaluation and Monitoring.- Prioritzation.- Exploration and Discovery.- Appendix.
Über den Autor

Antonio Gulli is a highly experienced Senior Director at Google, currently leading the Engineer Director role in the Office of CTO. With over 30 years of relevant experience, Antonio is a well-known figure in the industry, with a strong background in AI, Search, and Cloud technologies. Antonio has extensive experience managing technical teams and providing Google Cloud technology solutions across EMEA industry. He has previously served as Site Lead and Engineering Director for Google, where he managed cloud teams and led cross-functional teams in strong collaboration with international sites and sales functions. Antonio has also authored the book "Deep Learning for Keras" to increase science culture awareness. Antonio's educational background is impressive, with a Ph.D. in Computer Science from the University of Pisa and a Master's degree in Engineering from the same university. He also holds a Master's degree in Practice Engineering from the University of Pisa and a Bachelor's degree in Computer Science from the University of Pisa. Antonio's technical expertise includes Senior Software Engineer, AI, Search, Cloud Kubernetes, Keras, and Deep Learning. He is also a Board Member and VC Advisor, making him a valuable asset to any organization.

Inhaltsverzeichnis

Introduction.- Prompt Chaining.- Routing.- Parallelization.- Reflection.- Tool Use.- Planning.- Multi-Agent.- Memory Management.- Learning and Adaptation.- Model Context Protocol (MCP).- Goal Setting And Monitoring.- Exception Handling and Recovery.- Human-in-the-Loop.- Knowledge Retrieval (RAG).- Inter-Agent Communication (A2A).- Resource-Aware Optimization.- Reasoning Techniques.- Guardrails/Safety Patterns.- Evaluation and Monitoring.- Prioritzation.- Exploration and Discovery.- Appendix.

Details
Erscheinungsjahr: 2025
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xliii
427 S.
30 s/w Illustr.
33 farbige Illustr.
427 p. 63 illus.
33 illus. in color.
ISBN-13: 9783032014016
ISBN-10: 3032014018
Sprache: Englisch
Herstellernummer: 89571022
Einband: Kartoniert / Broschiert
Autor: Gullí, Antonio
Hersteller: Springer
Palgrave Macmillan
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 26 mm
Von/Mit: Antonio Gullí
Erscheinungsdatum: 31.10.2025
Gewicht: 0,709 kg
Artikel-ID: 134183464

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