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Building Machine Learning Systems that Understand.. SIGMOD Conference, page 1. ACM, (2016)Emergent Abilities of Large Language Models., , , , , , , , , and 6 other author(s). CoRR, (2022)Scaling Instruction-Finetuned Language Models., , , , , , , , , and 21 other author(s). CoRR, (2022)Efficient Neural Architecture Search via Parameter Sharing., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4092-4101. PMLR, (2018)Interlocking Backpropagation: Improving depthwise model-parallelism., , , , , and . CoRR, (2020)PaLM: Scaling Language Modeling with Pathways., , , , , , , , , and 57 other author(s). J. Mach. Learn. Res., (2023)Designs, Lessons and Advice from Building Large Distributed Systems. LADIS 2009 keynote. Dispon�vel online em http://www.cs.cornell.edu/projects/ladis2009/talks/dean\-keynote\-ladis2009.pdf, (2009)Deep learning-enabled medical computer vision., , , , , , , , , and . npj Digit. Medicine, (2021)A Hierarchical Model for Device Placement., , , , , and . ICLR (Poster), OpenReview.net, (2018)Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer., , , , , , and . ICLR (Poster), OpenReview.net, (2017)