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Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers., , , , , , , , , and . CoRR, (2021)Scaling Instruction-Finetuned Language Models., , , , , , , , , and 21 other author(s). CoRR, (2022)Do Transformer Modifications Transfer Across Implementations and Applications?, , , , , , , , , and 6 other author(s). EMNLP (1), page 5758-5773. Association for Computational Linguistics, (2021)Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning., , , , , , , and . ICLR (Poster), OpenReview.net, (2018)DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow., , , , , , , , and . CoRR, (2016)Effective Long-Context Scaling of Foundation Models., , , , , , , , , and 11 other author(s). CoRR, (2023)Llama 2: Open Foundation and Fine-Tuned Chat Models., , , , , , , , , and 58 other author(s). CoRR, (2023)Do Transformer Modifications Transfer Across Implementations and Applications?, , , , , , , , , and 6 other author(s). CoRR, (2021)Deep Speech 2: End-to-End Speech Recognition in English and Mandarin., , , , , , , , , and 24 other author(s). CoRR, (2015)Scale Efficiently: Insights from Pretraining and Finetuning Transformers., , , , , , , , , and . ICLR, OpenReview.net, (2022)