PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

no code implementations • 20 Mar 2023 • Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, Andrey Bout, Irina Piontkovskaya, Jiansheng Wei, Xin Jiang, Teng Su, Qun Liu, Jun Yao

In this work, we develop a system that trained a trillion-parameter language model on a cluster of Ascend 910 AI processors and MindSpore framework, and present the language model with 1. 085T parameters named PanGu-{\Sigma}.

Code Generation Language Modelling +4

PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

4 code implementations • 26 Apr 2021 • Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, YaoWei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian

To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.

Cloze (multi-choices) (Few-Shot) Cloze (multi-choices) (One-Shot) +19

Task-Oriented Conversation Generation Using Heterogeneous Memory Networks

no code implementations • IJCNLP 2019 • Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Ying Zhang

How to incorporate external knowledge into a neural dialogue model is critically important for dialogue systems to behave like real humans.

Teacher-Student Framework Enhanced Multi-domain Dialogue Generation

no code implementations • 20 Aug 2019 • Shuke Peng, Xinjing Huang, Zehao Lin, Feng Ji, Haiqing Chen, Yin Zhang

Dialogue systems dealing with multi-domain tasks are highly required.

Dialogue Generation