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This paper introduces the Aquila2 series, which comprises a wide range of bilingual models with parameter sizes of 7, 34, and 70 billion.
Sur quelques points du calcul fonctionnel
Maurice Fréchet · 1906
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Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, and Bryan Catanzaro · 1909
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ZeRO: Memory Optimization Towards Training A Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, and Yuxiong He · 1910
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PyTorch Distributed: Experiences on Accelerating Data Parallel Training
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, and Soumith Chintala · 2006
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Neural machine translation of rare words with subword units
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Jason Weston, Antoine Bordes, Sumit Chopra, and Tomás Mikolov · 2016
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh · 2017
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Can a suit of armor conduct electricity? a new dataset for open book question answering
Todor Mihaylov, Peter Clark, Tushar Khot, and Ashish Sabharwal · 2018
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Think you have solved question answering? try arc, the ai2 reasoning challenge
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Huggingface’s transformers: State-of-the-art natural language processing
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Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, and Yejin Choi · 2019
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Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova · 2019
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Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, and William L. Hamilton · 2019
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Gqa: A new dataset for real-world visual reasoning and compositional question answering
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Language models are few-shot learners
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PIQA: reasoning about physical commonsense in natural language
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Abductive commonsense reasoning
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Gqa: Training generalized multi-query transformer models from multi-head checkpoints
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