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Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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Language Models are Few-Shot Learners
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Training Compute-Optimal Large Language Models
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Measuring Massive Multitask Language Understanding
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META LEARNING SHARED HIERARCHIES
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Interpretable and Pedagogical Examples
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LEARNING SPARSE NEURAL NETWORKS THROUGH L0 REGULARIZATION
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GPU Kernels for Block-Sparse Weights
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DeepType: Multilingual Entity Linking by Neural Type System Evolution
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Interpretable and Pedagogical Examples
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