Lingua: Inglese
Editore: Anmol Publications Pvt. Ltd. Anmol, 2006
ISBN 10: 8126124032 ISBN 13: 9788126124039
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. x + 184 Index 1st Edition.
Lingua: Inglese
Editore: Anmol Publications Pvt. Ltd., 2006
ISBN 10: 8126124032 ISBN 13: 9788126124039
Da: Majestic Books, Hounslow, Regno Unito
EUR 7,93
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Lingua: Inglese
Editore: Anmol Publications Pvt. Ltd., 2006
ISBN 10: 8126124032 ISBN 13: 9788126124039
Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Discover the methodologies and best practices for getting started with Google Cloud Platform relational services ¿ CloudSQL and CloudSpanner.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 348 pp. Englisch.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Generative AI and Agentic AI together are revolutionizing the technology landscape, with profound and far-reaching impacts across industries. Organizations are increasingly adopting these technologies to drive innovation, enhance unstructured content management, and improve problem-solving capabilities. With Agentic AI, enterprises are moving towards the development of intelligent systems that can plan, reason, and act with autonomy. While early proof-of-concepts (POCs) demonstrated the potential of these technologies, the current shift is toward responsible and scalable production implementations that leverage both generative and agentic capabilities.This book begins by guiding you through the technological evolution of AI, from early machine learning to todays large language models (LLMs) and agentic systems. It then explores a wide range of use cases across industries, highlighting how LLMs can support decision-making, and how Agentic AI enables dynamic, collaborative systems that act with autonomy and intent. This is followed by Design Patterns across the lifecycle of AI solution development, deployment and monitoring. Readers will then gain insights into the methodologies for developing and deploying Generative and Agentic AI solutions at an enterprise level. A featured implementation demonstrates how Agentic AI can be effectively put into action.The book also introduces essential concepts such as MLOps, LLMOps, and Responsible AI principles which are critical for transitioning the AI solutions from experimentation to production. These principles ensure that AI deployments are scalable, secure, ethical and compliant. The book concludes with key takeaways and best practices for developing, evaluating, deploying and scaling AI applications responsibly and effectively within enterprise settings.You Will:Understand key design patterns to develop, deploy and monitor a Generative AI solution effectively.Learn how to develop and implement a production-ready Agentic AI use case.Discover best practices for building scalable, secure, and enterprise-grade AI solutions.Understand how to assess and mitigate risks using Responsible AI principles and LLMOps best practices.This book is for : Enterprise Software Engineers and Architects This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
ISBN 10: 7302456739 ISBN 13: 9787302456735
Da: liu xing, Nanjing, JS, Cina
EUR 70,55
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2016-12-01 Pages: 241 Publisher: tsinghua university press directing practical architecture. development and management. first of all. no database foundation of knowledge. and then introduces the mongo. industry leading document-based no (database. readers can learn step by step directing all aspects.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 34,08
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 40,65
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Generative AI and Agentic AI together are revolutionizing the technology landscape, with profound and far-reaching impacts across industries. Organizations are increasingly adopting these technologies to drive innovation, enhance unstructured content management, and improve problem-solving capabilities. With Agentic AI, enterprises are moving towards the development of intelligent systems that can plan, reason, and act with autonomy. While early proof-of-concepts (POCs) demonstrated the potential of these technologies, the current shift is toward responsible and scalable production implementations that leverage both generative and agentic capabilities.This book begins by guiding you through the technological evolution of AI, from early machine learning to today s large language models (LLMs) and agentic systems. It then explores a wide range of use cases across industries, highlighting how LLMs can support decision-making, and how Agentic AI enables dynamic, collaborative systems that act with autonomy and intent. This is followed by Design Patterns across the lifecycle of AI solution development, deployment and monitoring. Readers will then gain insights into the methodologies for developing and deploying Generative and Agentic AI solutions at an enterprise level. A featured implementation demonstrates how Agentic AI can be effectively put into action.The book also introduces essential concepts such as MLOps, LLMOps, and Responsible AI principles which are critical for transitioning the AI solutions from experimentation to production. These principles ensure that AI deployments are scalable, secure, ethical and compliant. The book concludes with key takeaways and best practices for developing, evaluating, deploying and scaling AI applications responsibly and effectively within enterprise settings.You Will:Understand key design patterns to develop, deploy and monitor a Generative AI solution effectively.Learn how to develop and implement a production-ready Agentic AI use case.Discover best practices for building scalable, secure, and enterprise-grade AI solutions.Understand how to assess and mitigate risks using Responsible AI principles and LLMOps best practices.This book is for : Enterprise Software Engineers and Architects 409 pp. Englisch.