Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Modelsarxiv.org#arxiv.org#2023#APR#W17#W16#research·arxiv.org·Apr 18, 2023Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models
Generative AI; Relevance to Librarians | LucideaIn libraries, I think we will start seeing it in databases, in the chat systems we use, and in cataloging.arxiv.org#generativeAI#arxiv.org#2023#APR#W17#W16#research·lucidea.com·Apr 16, 2023Generative AI; Relevance to Librarians | Lucidea
Interpretability in Machine Learningarxiv.org#2023#APR#W17#W16#arxiv.org#research·towardsdatascience.com·Apr 18, 2023Interpretability in Machine Learning
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A Brief History of Machine Learning Models Explainabilityarxiv.org#arxiv.org#2023#APR#W17#W16#research·zelros.medium.com·Apr 18, 2023A Brief History of Machine Learning Models Explainability
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