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DEMYSTIFYING THE POTENTIAL OF PHYTOCHEMICALS IN ANTI-CANCER DRUG DISCOVERY-A REVIEW
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI
Published by Apress, 2024
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Récupération efficace des données avec protection de l'intégrité des données
Language: French
Published by Editions Notre Savoir, 2025
ISBN 10: 6202225084 ISBN 13: 9786202225083
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Study of Energy Requirement for Kharif Maize Cultivation
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330041765 ISBN 13: 9783330041769
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Optimizing Generative Ai Workloads for Sustainability : Balancing Performance and Environmental Impact in Generative Ai
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DEMYSTIFYING THE POTENTIAL OF PHYTOCHEMICALS IN ANTICANCER DRUG DISCOVERYA REVIEW
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Optimizing Generative Ai Workloads for Sustainability : Balancing Performance and Environmental Impact in Generative Ai
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Sustainable Cloud Development: Optimize cloud workloads for environmental impact in the GenAI era
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Generation of Novel Human Cancer Vaccine
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659332631 ISBN 13: 9783659332630
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Supercritical Fluid Technology
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659346691 ISBN 13: 9783659346699
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Dynamic Source Routing Protocol and Its Importance
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3659198617 ISBN 13: 9783659198618
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Study of Energy Requirement for Kharif Maize Cultivation
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330041765 ISBN 13: 9783330041769
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Add to basketPaperback. Condition: Brand New. 01 edition. 72 pages. 8.66x5.91x0.17 inches. In Stock.
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Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Optimizing Generative AI Workloads for Sustainability
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Add to basketPaperback. Condition: New. This comprehensive guide provides practical strategies for optimizing Generative AI systems to be more sustainable and responsible. As advances in Generative AI such as large language models accelerate, optimizing these resource-intensive workloads for efficiency and alignment with human values grows increasingly urgent.The book starts with the concept of Generative AI and its wide-ranging applications, while also delving into the environmental impact of AI workloads and the growing importance of adopting sustainable AI practices. It then delves into the fundamentals of efficient AI workload management, providing insights into understanding AI workload characteristics, measuring performance, and identifying bottlenecks and inefficiencies. Hardware optimization strategies are explored in detail, covering the selection of energy-efficient hardware, leveraging specialized AI accelerators, and optimizing hardware utilization and scheduling for sustainable operations. You are also guided through software optimization techniques tailored for Generative AI, including efficient model architecture, compression, and quantization methods, and optimization of software libraries and frameworks. Data management and preprocessing strategies are also addressed, emphasizing efficient data storage, cleaning, preprocessing, and augmentation techniques to enhance sustainability throughout the data life cycle. The book further explores model training and inference optimization, cloud and edge computing strategies for Generative AI, energy-efficient deployment and scaling techniques, and sustainable AI life cycle management practices, and concludes with real-world case studies and best practicesBy the end of this book, you will take away a toolkit of impactful steps you can implement to minimize the environmental harms and ethical risks of Generative AI. For organizations deploying any type of generative model at scale, this essential guide provides a blueprint for developing responsible AI systems that benefit society. What You Will LearnUnderstand how Generative AI can be more energy-efficient through improvements such as model compression, efficient architecture, hardware optimization, and carbon footprint trackingKnow the techniques to minimize data usage, including evaluation, filtering, synthesis, few-shot learning, and monitoring data demands over timeUnderstand spanning efficiency, data minimization, and alignment for comprehensive responsibilityKnow the methods for detecting, understanding, and mitigating algorithmic biases, ensuring diversity in data collection, and monitoring model fairness Who This book Is ForProfessionals seeking to adopt responsible and sustainable practices in their Generative AI work; leaders and practitioners who need actionable strategies and recommendations that can be implemented directly in real-world systems and organizational workflows; ML engineers and data scientists building and deploying Generative AI systems in industry set.
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International Hrm and Development in Emerging Market Multinationals
Book 31 of 34: Routledge Studies in Human Resource DevelopmentSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Wydajne odzyskiwanie danych z ochron? integralno?ci danych
Language: Polish
Published by Wydawnictwo Nasza Wiedza, 2025
ISBN 10: 6202224959 ISBN 13: 9786202224956
Condition: New.
