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pro vyhledávání: '"Mom, Ferdinand"'
Autor:
Peng, Bo, Alcaide, Eric, Anthony, Quentin, Albalak, Alon, Arcadinho, Samuel, Biderman, Stella, Cao, Huanqi, Cheng, Xin, Chung, Michael, Grella, Matteo, GV, Kranthi Kiran, He, Xuzheng, Hou, Haowen, Lin, Jiaju, Kazienko, Przemyslaw, Kocon, Jan, Kong, Jiaming, Koptyra, Bartlomiej, Lau, Hayden, Mantri, Krishna Sri Ipsit, Mom, Ferdinand, Saito, Atsushi, Song, Guangyu, Tang, Xiangru, Wang, Bolun, Wind, Johan S., Wozniak, Stanislaw, Zhang, Ruichong, Zhang, Zhenyuan, Zhao, Qihang, Zhou, Peng, Zhou, Qinghua, Zhu, Jian, Zhu, Rui-Jie
Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence length. In contrast, recurrent neural networks (RNNs) exhibit linear scali
Externí odkaz:
http://arxiv.org/abs/2305.13048
