Zobrazeno 1 - 5
of 5
pro vyhledávání: '"He, Pujiang"'
Autor:
He, Pujiang, Zhou, Shan, Huang, Wenhuan, Li, Changqing, Wang, Duyi, Guo, Bin, Meng, Chen, Gui, Sheng, Yu, Weifei, Xie, Yi
Large language models (LLMs) have shown exceptional performance and vast potential across diverse tasks. However, the deployment of LLMs with high performance in low-resource environments has garnered significant attention in the industry. When GPU h
Externí odkaz:
http://arxiv.org/abs/2407.07304
Autor:
He, Pujiang, Zhou, Shan, Li, Changqing, Huang, Wenhuan, Yu, Weifei, Wang, Duyi, Meng, Chen, Gui, Sheng
Large language models (LLMs) hold tremendous potential for addressing numerous real-world challenges, yet they typically demand significant computational resources and memory. Deploying LLMs onto a resource-limited hardware device with restricted mem
Externí odkaz:
http://arxiv.org/abs/2407.00029
Autor:
Tian, Qiao, Zhang, Zewang, Liu, Chao, Lu, Heng, Chen, Linghui, Wei, Bin, He, Pujiang, Liu, Shan
Attention based neural TTS is elegant speech synthesis pipeline and has shown a powerful ability to generate natural speech. However, it is still not robust enough to meet the stability requirements for industrial products. Besides, it suffers from s
Externí odkaz:
http://arxiv.org/abs/2011.00935
Publikováno v:
2014 IEEE Intl Conf on High Performance Computing & Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety & Security, 2014 IEEE 11th Intl Conf on Embedded Software & Syst (HPCC,CSS,ICESS); 2014, p272-275, 4p
Publikováno v:
2014 20th IEEE International Conference on Parallel & Distributed Systems (ICPADS); 2014, p150-157, 8p