| 書目名稱 | Optimizing Generative AI Workloads for Sustainability | | 副標(biāo)題 | Balancing Performanc | | 編輯 | Ishneet Kaur Dua,Parth Girish Patel | | 視頻video | http://file.papertrans.cn/706/705422/705422.mp4 | | 概述 | Guides practitioners and industry experts as Generative AI moves from research into wider real-world applications.Provides a holistic approach to optimizing Generative AI workloads while minimizing th | | 圖書封面 |  | | 描述 | .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 framewor | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Artificial Intelligence; Machine Learning; Generative AI ; Ethical generative models; AI Efficiency and | | 版次 | 1 | | doi | https://doi.org/10.1007/979-8-8688-0917-0 | | isbn_softcover | 979-8-8688-0916-3 | | isbn_ebook | 979-8-8688-0917-0 | | copyright | Ishneet Kaur Dua and Parth Girish Patel 2024 |
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