Idioma: Inglés
Publicado por Packt Publishing April 2025, 2025
ISBN 10: 1803238755 ISBN 13: 9781803238753
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Idioma: Inglés
Publicado por Packt Publishing, Limited, 2025
ISBN 10: 1803238755 ISBN 13: 9781803238753
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Idioma: Inglés
Publicado por Bpb Publications 8/30/2025, 2025
ISBN 10: 9365899567 ISBN 13: 9789365899566
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Añadir al carritoPaperback or Softback. Condición: New. Generative AI Ethics, Privacy, and Security: A guide to generative AI, its ethical considerations, privacy measures, security strategies, and approach. Book.
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Añadir al carritoPaperback. Condición: Brand New. In Stock.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2025
ISBN 10: 1803238755 ISBN 13: 9781803238753
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 61,30
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Añadir al carritoPaperback. Condición: New. Grasp the fundamentals of agentic systems and a deep understanding of the essential building blocks of intelligent agents with this comprehensive guide that bridges theory and practice, empowering you to create sophisticated AI systems.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2025
ISBN 10: 1803238755 ISBN 13: 9781803238753
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoPaperback. Condición: New. Grasp the fundamentals of agentic systems and a deep understanding of the essential building blocks of intelligent agents with this comprehensive guide that bridges theory and practice, empowering you to create sophisticated AI systems.
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Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2025
ISBN 10: 1803238755 ISBN 13: 9781803238753
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: New. Grasp the fundamentals of agentic systems and a deep understanding of the essential building blocks of intelligent agents with this comprehensive guide that bridges theory and practice, empowering you to create sophisticated AI systems.
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Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2025
ISBN 10: 1803238755 ISBN 13: 9781803238753
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: New. Grasp the fundamentals of agentic systems and a deep understanding of the essential building blocks of intelligent agents with this comprehensive guide that bridges theory and practice, empowering you to create sophisticated AI systems.
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Idioma: Inglés
Publicado por BPB Publications, New Delhi, 2025
ISBN 10: 9365899567 ISBN 13: 9789365899566
Librería: CitiRetail, Stevenage, Reino Unido
EUR 43,15
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Añadir al carritoPaperback. Condición: new. Paperback. This book begins by introducing foundational concepts of generative AI and transformer model evolution, along with architectures, including GANs and autoencoders. It explores ethical frameworks and societal impacts, examines privacy challenges in data usage and generated content, and addresses security threats with mitigation strategies. Readers will learn responsible development and governance practices, navigate the legal and regulatory landscape, and learn how to educate users about AI capabilities and limitations. The book concludes with real-world case studies, best practices for deployment, and future directions for ethical innovation. Explore transformer models, GANs, and autoencoder architectures. Implement ethical AI frameworks and bias mitigation strategies. Design privacy-preserving systems for sensitive data handling. Deploy security measures against adversarial attacks and misuse. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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EUR 92,36
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EUR 97,37
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 92,30
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 45,20
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Generative AI is transforming industries globally, with the majority of organizations using generative AI in at least one business function. From the fundamental evolution of transformer models to the complex ethical questions they raise, this book equips readers with the knowledge to navigate AI with confidence.This book begins by introducing foundational concepts of generative AI and transformer model evolution, along with architectures, including GANs and autoencoders. It explores ethical frameworks and societal impacts, examines privacy challenges in data usage and generated content, and addresses security threats with mitigation strategies. Readers will learn responsible development and governance practices, navigate the legal and regulatory landscape, and learn how to educate users about AI capabilities and limitations. The book concludes with real-world case studies, best practices for deployment, and future directions for ethical innovation.Upon completing this book, readers will possess the knowledge and skills to lead generative AI initiatives, balancing innovation with ethical responsibility. They will be able to make informed decisions about AI deployment, implement security and privacy measures, ensure regulatory compliance, and build AI systems that drive business value while maintaining public trust and societal benefit.WHAT YOU WILL LEARN¿ Explore transformer models, GANs, and autoencoder architectures.¿ Implement ethical AI frameworks and bias mitigation strategies.¿ Design privacy-preserving systems for sensitive data handling.¿ Deploy security measures against adversarial attacks and misuse.¿ Navigate global AI regulations and compliance requirements.¿ Build responsible governance structures for AI deployment.¿ Educate stakeholders on AI capabilities and limitations.WHO THIS BOOK IS FORThis book is designed for ML engineers, architects, developers, business leaders, and AI strategists who need to understand both the technical and ethical dimensions of generative AI. Whether you are steering organizational AI strategy or implementing AI solutions hands-on, this guide provides the essential knowledge for responsible deployment.
Librería: preigu, Osnabrück, Alemania
EUR 46,50
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Generative AI Ethics, Privacy, and Security | A guide to generative AI, its ethical considerations, privacy measures, security strategies, and approaches (English Edition) | Wrick Talukdar (u. a.) | Taschenbuch | Englisch | 2025 | BPB Publications | EAN 9789365899566 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 75,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systemsFree with your book: PDF Copy, AI Assistant, and Next-Gen ReaderKey Features: Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems Explore crucial aspects of trust, safety, and ethics in AI agent development and applicationsBook Description:Gain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks.Starting with the foundations of GenAI and agentic architectures, you'll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents.Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What You Will Learn: Master the core principles of GenAI and agentic systems Understand how AI agents operate, reason, and adapt in dynamic environments Enable AI agents to analyze their own actions and improvise Implement systems where AI agents can leverage external tools and plan complex tasks Apply methods to enhance transparency, accountability, and reliability in AI Explore real-world implementations of AI agents across industriesWho this book is for:This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.Table of Contents Fundamentals of Generative AI Principles of Agentic Systems Essential Components of Intelligent Agents Reflection and Introspection in Agents Enabling Tool Use and Planning in Agents Exploring the Coordinator, Worker, and Delegator Approach Effective Agentic System Design Techniques Building Trust in Generative AI Systems Managing Safety and Ethical Considerations Common Use Cases and Applications Conclusion and Future Outlook.