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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)Unified Scaling Laws for Routed Language Models., , , , , , , , , and 16 other author(s). CoRR, (2022)Training Compute-Optimal Large Language Models., , , , , , , , , and 12 other author(s). CoRR, (2022)Scaling Language Models: Methods, Analysis & Insights from Training Gopher., , , , , , , , , and 70 other author(s). CoRR, (2021)Flamingo: a Visual Language Model for Few-Shot Learning., , , , , , , , , and 17 other author(s). NeurIPS, (2022)Gemini: A Family of Highly Capable Multimodal Models., , , , , , , , , and 42 other author(s). CoRR, (2023)An empirical analysis of compute-optimal large language model training., , , , , , , , , and 12 other author(s). NeurIPS, (2022)Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context., , , , , , , , , and 43 other author(s). CoRR, (2024)Improving language models by retrieving from trillions of tokens., , , , , , , , , and 18 other author(s). CoRR, (2021)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)