Pham kien (8 Ergebnisse)
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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Paperback. Zustand: Brand New. 41 pages. 6.00x0.10x9.00 inches. In Stock.
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Zustand: New.
Nguyen, T: STUDY ON FACTORS AFFECTING SWI
Pham, Van Kien; Nguyen, Tran Le; Tang, My Ha; Do, Thi Thu Ha; Ha, Le Thu Hoai
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Taschenbuch. Zustand: Neu. Neuware.
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Taschenbuch. Zustand: Neu. Neuware -Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must prioritize investments in data and AI governance. AI-Ready Data Blueprints is your map to co…nnecting data strategy, GenAI, and ethical practices to build and scale truly effective solutions. Taking a comprehensive, cloud-agnostic approach focused on real-world business challenges, seasoned data and AI experts Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha Tadiparthi share actionable insights to guide you in designing and implementing effective data-centric GenAI systems. Whether you're new to GenAI or are already focusing on optimizing it for accuracy, speed, or both, the principles shared in this book will empower you to excel in all your AI endeavors. - Identify the key elements of a solid data foundation for generative AI - Apply data governance and orchestration techniques to ensure high data quality, access control, and proper data lineage for reliable AI systems - Optimize GenAI applications through prompt engineering, fine-tuning, and retrieval-augmented generation - Implement security, compliance, and governance measures, including responsible AI practices, transparency, and moreLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 400 pp. Englisch.
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Taschenbuch. Zustand: Neu. Neuware - Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must prioritize investments in data and AI governance. AI-Ready Data Blueprints is your map to c…onnecting data strategy, GenAI, and ethical practices to build and scale truly effective solutions. Taking a comprehensive, cloud-agnostic approach focused on real-world business challenges, seasoned data and AI experts Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha Tadiparthi share actionable insights to guide you in designing and implementing effective data-centric GenAI systems. Whether you're new to GenAI or are already focusing on optimizing it for accuracy, speed, or both, the principles shared in this book will empower you to excel in all your AI endeavors. - Identify the key elements of a solid data foundation for generative AI - Apply data governance and orchestration techniques to ensure high data quality, access control, and proper data lineage for reliable AI systems - Optimize GenAI applications through prompt engineering, fine-tuning, and retrieval-augmented generation - Implement security, compliance, and governance measures, including responsible AI practices, transparency, and more.
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Taschenbuch. Zustand: Neu. Neuware -Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must prioritize investments in data and AI governance. AI-Ready Data Blueprints is your map to co…nnecting data strategy, GenAI, and ethical practices to build and scale truly effective solutions. Taking a comprehensive, cloud-agnostic approach focused on real-world business challenges, seasoned data and AI experts Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha Tadiparthi share actionable insights to guide you in designing and implementing effective data-centric GenAI systems. Whether you're new to GenAI or are already focusing on optimizing it for accuracy, speed, or both, the principles shared in this book will empower you to excel in all your AI endeavors. - Identify the key elements of a solid data foundation for generative AI - Apply data governance and orchestration techniques to ensure high data quality, access control, and proper data lineage for reliable AI systems - Optimize GenAI applications through prompt engineering, fine-tuning, and retrieval-augmented generation - Implement security, compliance, and governance measures, including responsible AI practices, transparency, and more 400 pp. Englisch.
