title={Glm-130b: An open bilingual pre-trained model},
title={ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools},
author={Zeng, Aohan and Liu, Xiao and Du, Zhengxiao and Wang, Zihan and Lai, Hanyu and Ding, Ming and Yang, Zhuoyi and Xu, Yifan and Zheng, Wendi and Xia, Xiao and others},
author={Team GLM and Aohan Zeng and Bin Xu and Bowen Wang and Chenhui Zhang and Da Yin and Diego Rojas and Guanyu Feng and Hanlin Zhao and Hanyu Lai and Hao Yu and Hongning Wang and Jiadai Sun and Jiajie Zhang and Jiale Cheng and Jiayi Gui and Jie Tang and Jing Zhang and Juanzi Li and Lei Zhao and Lindong Wu and Lucen Zhong and Mingdao Liu and Minlie Huang and Peng Zhang and Qinkai Zheng and Rui Lu and Shuaiqi Duan and Shudan Zhang and Shulin Cao and Shuxun Yang and Weng Lam Tam and Wenyi Zhao and Xiao Liu and Xiao Xia and Xiaohan Zhang and Xiaotao Gu and Xin Lv and Xinghan Liu and Xinyi Liu and Xinyue Yang and Xixuan Song and Xunkai Zhang and Yifan An and Yifan Xu and Yilin Niu and Yuantao Yang and Yueyan Li and Yushi Bai and Yuxiao Dong and Zehan Qi and Zhaoyu Wang and Zhen Yang and Zhengxiao Du and Zhenyu Hou and Zihan Wang},
journal={arXiv preprint arXiv:2210.02414},
year={2024},
year={2022}
eprint={2406.12793},
}
archivePrefix={arXiv},
```
primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
```
@inproceedings{du2022glm,
title={GLM: General Language Model Pretraining with Autoregressive Blank Infilling},
author={Du, Zhengxiao and Qian, Yujie and Liu, Xiao and Ding, Ming and Qiu, Jiezhong and Yang, Zhilin and Tang, Jie},
booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
👋 Join our <ahref="https://join.slack.com/t/chatglm/shared_invite/zt-1y7pqoloy-9b1g6T6JjA8J0KxvUjbwJw" target="_blank">Slack</a> and <ahref="resources/WECHAT.md"target="_blank">WeChat</a>
👋 Join our <ahref="https://discord.gg/fK2dz4bg" target="_blank">Discord</a> and <ahref="resources/WECHAT.md"target="_blank">WeChat</a>
</p>
</p>
## GLM-4 Open Source Model and API
We have released the latest **GLM-4** model, which has made new breakthroughs in multiple indicators. You can directly
experience our latest model in the following two channels.
+ [GLM-4 open source model](https://github.com/THUDM/GLM-4) We have open sourced the GLM-4-9B series models, which have
significantly improved the performance of various indicators. Welcome to try.
+ [Zhipu Qingyan](https://chatglm.cn/main/detail?fr=ecology_x) Experience the latest version of GLM-4, including **GLMs,
All tools** and other functions.
+ [API platform](https://open.bigmodel.cn/?utm_campaign=open&_channel_track_key=OWTVNma9) The new generation of API
platform has been launched. You can directly experience new models such
as `GLM-4-0520`, `GLM-4-air`, `GLM-4-airx`, `GLM-4-flash`, `GLM-4`, `GLM-3-Turbo`, `CharacterGLM-3`, `CogView-3` on
the API platform.
Among them, the two models `GLM-4` and `GLM-3-Turbo` support new functions such
as `System Prompt`, `Function Call`, `Retrieval`, and `Web_Search`. You are welcome to experience them.
+ [GLM-4 API open source tutorial](https://github.com/MetaGLM/glm-cookbook/) GLM-4 API tutorial and basic applications,
welcome to try.
API-related questions can be asked in this open source tutorial, or
use [GLM-4 API AI Assistant](https://open.bigmodel.cn/shareapp/v1/?share_code=sQwt5qyqYVaNh1O_87p8O)
to get help with common problems.
## Introduction
## Introduction
ChatGLM**2**-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B). It retains the smooth conversation flow and low deployment threshold of the first-generation model, while introducing the following new features:
ChatGLM**2**-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B). It retains the smooth conversation flow and low deployment threshold of the first-generation model, while introducing the following new features:
@ -250,19 +275,12 @@ The code of this repository is licensed under [Apache-2.0](https://www.apache.or
If you find our work useful, please consider citing the following papers. The technical report for ChatGLM2-6B will be out soon.
If you find our work useful, please consider citing the following papers. The technical report for ChatGLM2-6B will be out soon.
```
```
@article{zeng2022glm,
@misc{glm2024chatglm,
title={Glm-130b: An open bilingual pre-trained model},
title={ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools},
author={Zeng, Aohan and Liu, Xiao and Du, Zhengxiao and Wang, Zihan and Lai, Hanyu and Ding, Ming and Yang, Zhuoyi and Xu, Yifan and Zheng, Wendi and Xia, Xiao and others},
author={Team GLM and Aohan Zeng and Bin Xu and Bowen Wang and Chenhui Zhang and Da Yin and Diego Rojas and Guanyu Feng and Hanlin Zhao and Hanyu Lai and Hao Yu and Hongning Wang and Jiadai Sun and Jiajie Zhang and Jiale Cheng and Jiayi Gui and Jie Tang and Jing Zhang and Juanzi Li and Lei Zhao and Lindong Wu and Lucen Zhong and Mingdao Liu and Minlie Huang and Peng Zhang and Qinkai Zheng and Rui Lu and Shuaiqi Duan and Shudan Zhang and Shulin Cao and Shuxun Yang and Weng Lam Tam and Wenyi Zhao and Xiao Liu and Xiao Xia and Xiaohan Zhang and Xiaotao Gu and Xin Lv and Xinghan Liu and Xinyi Liu and Xinyue Yang and Xixuan Song and Xunkai Zhang and Yifan An and Yifan Xu and Yilin Niu and Yuantao Yang and Yueyan Li and Yushi Bai and Yuxiao Dong and Zehan Qi and Zhaoyu Wang and Zhen Yang and Zhengxiao Du and Zhenyu Hou and Zihan Wang},
journal={arXiv preprint arXiv:2210.02414},
year={2024},
year={2022}
eprint={2406.12793},
}
archivePrefix={arXiv},
```
primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
```
@inproceedings{du2022glm,
title={GLM: General Language Model Pretraining with Autoregressive Blank Infilling},
author={Du, Zhengxiao and Qian, Yujie and Liu, Xiao and Ding, Ming and Qiu, Jiezhong and Yang, Zhilin and Tang, Jie},
booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
Zhengxiao Du
5 months ago
committed by