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Emergent Abilities of Large Language Models., , , , , , , , , и 6 other автор(ы). Trans. Mach. Learn. Res., (2022)Building Machine Learning Systems that Understand.. SIGMOD Conference, стр. 1. ACM, (2016)Efficient Neural Architecture Search via Parameter Sharing., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4092-4101. PMLR, (2018)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)A Hierarchical Model for Device Placement., , , , , и . ICLR (Poster), OpenReview.net, (2018)Efficiently Scaling Transformer Inference., , , , , , , , и . MLSys, mlsys.org, (2023)PaLM: Scaling Language Modeling with Pathways., , , , , , , , , и 57 other автор(ы). J. Mach. Learn. Res., (2023)Devise: A deep visual-semantic embedding model, , , , , , и . Advances in Neural Information Processing Systems, стр. 2121--2129. (2013)Chip Placement with Deep Reinforcement Learning., , , , , , , , , и 12 other автор(ы). CoRR, (2020)Brainformers: Trading Simplicity for Efficiency., , , , , , , , , и 5 other автор(ы). ICML, том 202 из Proceedings of Machine Learning Research, стр. 42531-42542. PMLR, (2023)