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Emergent Abilities of Large Language Models., , , , , , , , , and 6 other author(s). Trans. Mach. Learn. Res., (2022)Efficient Neural Architecture Search via Parameter Sharing., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4092-4101. PMLR, (2018)Scaling Instruction-Finetuned Language Models., , , , , , , , , and 25 other author(s). J. Mach. Learn. Res., (2024)Building Machine Learning Systems that Understand.. SIGMOD Conference, page 1. ACM, (2016)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., , , , , and . ICLR (Poster), OpenReview.net, (2018)Efficiently Scaling Transformer Inference., , , , , , , , and . MLSys, mlsys.org, (2023)PaLM: Scaling Language Modeling with Pathways., , , , , , , , , and 57 other author(s). J. Mach. Learn. Res., (2023)Chip Placement with Deep Reinforcement Learning., , , , , , , , , and 12 other author(s). CoRR, (2020)Brainformers: Trading Simplicity for Efficiency., , , , , , , , , and 5 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 42531-42542. PMLR, (2023)