Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Deng, Chengqi"'
Autor:
An, Wei, Bi, Xiao, Chen, Guanting, Chen, Shanhuang, Deng, Chengqi, Ding, Honghui, Dong, Kai, Du, Qiushi, Gao, Wenjun, Guan, Kang, Guo, Jianzhong, Guo, Yongqiang, Fu, Zhe, He, Ying, Huang, Panpan, Li, Jiashi, Liang, Wenfeng, Liu, Xiaodong, Liu, Xin, Liu, Yiyuan, Liu, Yuxuan, Lu, Shanghao, Lu, Xuan, Nie, Xiaotao, Pei, Tian, Qiu, Junjie, Qu, Hui, Ren, Zehui, Sha, Zhangli, Su, Xuecheng, Sun, Xiaowen, Tan, Yixuan, Tang, Minghui, Wang, Shiyu, Wang, Yaohui, Wang, Yongji, Xie, Ziwei, Xiong, Yiliang, Xu, Yanhong, Ye, Shengfeng, Yu, Shuiping, Zha, Yukun, Zhang, Liyue, Zhang, Haowei, Zhang, Mingchuan, Zhang, Wentao, Zhang, Yichao, Zhao, Chenggang, Zhao, Yao, Zhou, Shangyan, Zhou, Shunfeng, Zou, Yuheng
The rapid progress in Deep Learning (DL) and Large Language Models (LLMs) has exponentially increased demands of computational power and bandwidth. This, combined with the high costs of faster computing chips and interconnects, has significantly infl
Externí odkaz:
http://arxiv.org/abs/2408.14158
Autor:
DeepSeek-AI, Zhu, Qihao, Guo, Daya, Shao, Zhihong, Yang, Dejian, Wang, Peiyi, Xu, Runxin, Wu, Y., Li, Yukun, Gao, Huazuo, Ma, Shirong, Zeng, Wangding, Bi, Xiao, Gu, Zihui, Xu, Hanwei, Dai, Damai, Dong, Kai, Zhang, Liyue, Piao, Yishi, Gou, Zhibin, Xie, Zhenda, Hao, Zhewen, Wang, Bingxuan, Song, Junxiao, Chen, Deli, Xie, Xin, Guan, Kang, You, Yuxiang, Liu, Aixin, Du, Qiushi, Gao, Wenjun, Lu, Xuan, Chen, Qinyu, Wang, Yaohui, Deng, Chengqi, Li, Jiashi, Zhao, Chenggang, Ruan, Chong, Luo, Fuli, Liang, Wenfeng
We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoin
Externí odkaz:
http://arxiv.org/abs/2406.11931
Autor:
Lu, Haoyu, Liu, Wen, Zhang, Bo, Wang, Bingxuan, Dong, Kai, Liu, Bo, Sun, Jingxiang, Ren, Tongzheng, Li, Zhuoshu, Yang, Hao, Sun, Yaofeng, Deng, Chengqi, Xu, Hanwei, Xie, Zhenda, Ruan, Chong
We present DeepSeek-VL, an open-source Vision-Language (VL) Model designed for real-world vision and language understanding applications. Our approach is structured around three key dimensions: We strive to ensure our data is diverse, scalable, and e
Externí odkaz:
http://arxiv.org/abs/2403.05525
Autor:
Douze, Matthijs, Guzhva, Alexandr, Deng, Chengqi, Johnson, Jeff, Szilvasy, Gergely, Mazaré, Pierre-Emmanuel, Lomeli, Maria, Hosseini, Lucas, Jégou, Hervé
Vector databases typically manage large collections of embedding vectors. Currently, AI applications are growing rapidly, and so is the number of embeddings that need to be stored and indexed. The Faiss library is dedicated to vector similarity searc
Externí odkaz:
http://arxiv.org/abs/2401.08281
Autor:
Dai, Damai, Deng, Chengqi, Zhao, Chenggang, Xu, R. X., Gao, Huazuo, Chen, Deli, Li, Jiashi, Zeng, Wangding, Yu, Xingkai, Wu, Y., Xie, Zhenda, Li, Y. K., Huang, Panpan, Luo, Fuli, Ruan, Chong, Sui, Zhifang, Liang, Wenfeng
In the era of large language models, Mixture-of-Experts (MoE) is a promising architecture for managing computational costs when scaling up model parameters. However, conventional MoE architectures like GShard, which activate the top-$K$ out of $N$ ex
Externí odkaz:
http://arxiv.org/abs/2401.06066
Autor:
DeepSeek-AI, Bi, Xiao, Chen, Deli, Chen, Guanting, Chen, Shanhuang, Dai, Damai, Deng, Chengqi, Ding, Honghui, Dong, Kai, Du, Qiushi, Fu, Zhe, Gao, Huazuo, Gao, Kaige, Gao, Wenjun, Ge, Ruiqi, Guan, Kang, Guo, Daya, Guo, Jianzhong, Hao, Guangbo, Hao, Zhewen, He, Ying, Hu, Wenjie, Huang, Panpan, Li, Erhang, Li, Guowei, Li, Jiashi, Li, Yao, Li, Y. K., Liang, Wenfeng, Lin, Fangyun, Liu, A. X., Liu, Bo, Liu, Wen, Liu, Xiaodong, Liu, Xin, Liu, Yiyuan, Lu, Haoyu, Lu, Shanghao, Luo, Fuli, Ma, Shirong, Nie, Xiaotao, Pei, Tian, Piao, Yishi, Qiu, Junjie, Qu, Hui, Ren, Tongzheng, Ren, Zehui, Ruan, Chong, Sha, Zhangli, Shao, Zhihong, Song, Junxiao, Su, Xuecheng, Sun, Jingxiang, Sun, Yaofeng, Tang, Minghui, Wang, Bingxuan, Wang, Peiyi, Wang, Shiyu, Wang, Yaohui, Wang, Yongji, Wu, Tong, Wu, Y., Xie, Xin, Xie, Zhenda, Xie, Ziwei, Xiong, Yiliang, Xu, Hanwei, Xu, R. X., Xu, Yanhong, Yang, Dejian, You, Yuxiang, Yu, Shuiping, Yu, Xingkai, Zhang, B., Zhang, Haowei, Zhang, Lecong, Zhang, Liyue, Zhang, Mingchuan, Zhang, Minghua, Zhang, Wentao, Zhang, Yichao, Zhao, Chenggang, Zhao, Yao, Zhou, Shangyan, Zhou, Shunfeng, Zhu, Qihao, Zou, Yuheng
The rapid development of open-source large language models (LLMs) has been truly remarkable. However, the scaling law described in previous literature presents varying conclusions, which casts a dark cloud over scaling LLMs. We delve into the study o
Externí odkaz:
http://arxiv.org/abs/2401.02954
Autor:
Wu, Xiaopei, Peng, Liang, Yang, Honghui, Xie, Liang, Huang, Chenxi, Deng, Chengqi, Liu, Haifeng, Cai, Deng
Current LiDAR-only 3D detection methods inevitably suffer from the sparsity of point clouds. Many multi-modal methods are proposed to alleviate this issue, while different representations of images and point clouds make it difficult to fuse them, res
Externí odkaz:
http://arxiv.org/abs/2203.09780
Singing voice conversion is to convert a singer's voice to another one's voice without changing singing content. Recent work shows that unsupervised singing voice conversion can be achieved with an autoencoder-based approach [1]. However, the convert
Externí odkaz:
http://arxiv.org/abs/1912.01852
Autor:
Song, Liguo, Yang, Jingang, Sui, Hao, Wei, Yuhang, Deng, Chengqi, Meng, Lingrun, Guo, Feng, Han, Zhitao, Pan, Xinxiang, Dionysiou, Dionysios D.
Publikováno v:
In Chemical Engineering Journal 1 February 2023 453 Part 1
Autor:
Yang, Jingang, Song, Liguo, Deng, Chengqi, Sui, Hao, Dionysiou, Dionysios D., Han, Zhitao, Xu, Minyi, Pan, Xinxiang
Publikováno v:
In Separation and Purification Technology 1 February 2023 306 Part A