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Training Green AI Models Using Elite Samples
Feb. 20, 2024, 5:42 a.m. | Mohammed Alswaitti, Roberto Verdecchia, Gr\'egoire Danoy, Pascal Bouvry, Johnatan Pecero
cs.LG updates on arXiv.org arxiv.org
Abstract: The substantial increase in AI model training has considerable environmental implications, mandating more energy-efficient and sustainable AI practices. On the one hand, data-centric approaches show great potential towards training energy-efficient AI models. On the other hand, instance selection methods demonstrate the capability of training AI models with minimised training sets and negligible performance degradation. Despite the growing interest in both topics, the impact of data-centric training set selection on energy efficiency remains to date unexplored. …
abstract ai model ai models ai model training arxiv capability cs.ai cs.lg cs.ne data data-centric energy environmental green green ai instance practices samples show sustainable training training ai training ai models type
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