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Unified Scaling Laws for Routed Language Models., , , , , , , , , and 16 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 4057-4086. PMLR, (2022)An empirical analysis of compute-optimal large language model training., , , , , , , , , and 12 other author(s). NeurIPS, (2022)Improving language models by retrieving from trillions of tokens, , , , , , , , , and 18 other author(s). (2021)cite arxiv:2112.04426Comment: Fix incorrect reported numbers in Table 14.Improving Language Models by Retrieving from Trillions of Tokens., , , , , , , , , and 18 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 2206-2240. PMLR, (2022)Grandmaster level in StarCraft II using multi-agent reinforcement learning., , , , , , , , , and 32 other author(s). Nat., 575 (7782): 350-354 (2019)Local Search on Trees and a Framework for Automated Construction Using Multiple Identical Robots: (Extended Abstract)., , , , and . AAMAS, page 1301-1302. ACM, (2016)Training Compute-Optimal Large Language Models, , , , , , , , , and 12 other author(s). (2022)Red Teaming Language Models with Language Models., , , , , , , , and . EMNLP, page 3419-3448. Association for Computational Linguistics, (2022)Predictable Scaling and Infrastructure.. HCS, page 1-27. IEEE, (2024)