Xinhua News Agency Research Institute released a report on domestic large-scale models: Xunfei Xinghuo and Baidu Wenxin are listed as TOP 2

According to IT House's report on August 13, the China Enterprise Development Research Center of the Xinhua News Agency Research Institute released the "Artificial Intelligence Large Model Experience Report 2.0" yesterday. The "Report" pointed out that the current domestic large-scale model products have made significant progress, but compared with humans who have received higher education, there is still a certain gap in IQ and EQ.

The "Report" selected 8 large-scale model products including 360 Zhinao, Baidu Wenxin Yiyan, Lanzhou Mchat, SenseTime, Xunfei Xinghuo, Ali Tongyi Qianwen, Kunlun Tiangong, and Zhipu ChatGLM for evaluation. The total score is calculated from the four dimensions of ability, IQ ability, EQ ability, and tool extraction. The rankings from high to low are Xunfei Xinghuo, Baidu Wenxin Yiyan, SenseTime, Zhipu ChatGLM, 360 Zhinao, Kunlun Wanwei Tiangong, Ali Tongyi Qianwen, and Lanzhou Mchat.

According to reports, Xunfei Xinghuo "has obvious advantages in improving work efficiency", Baidu Wenxin said "the foundation is deep, and the basic ability is still at the leading level", Shangtang Consulting "excellent in emotional intelligence", and Zhipu AI's ChatGLM The overall performance is excellent. At the same time, the focus of AI technology development has shifted from the blind pursuit of large models to the development of practicality and sustainability, and the large-scale implementation of AI needs more time to verify.

View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • Comment
  • Share
Comment
0/400
No comments
Trade Crypto Anywhere Anytime
qrCode
Scan to download Gate app
Community
English
  • 简体中文
  • English
  • Tiếng Việt
  • 繁體中文
  • Español
  • Русский
  • Français (Afrique)
  • Português (Portugal)
  • Bahasa Indonesia
  • 日本語
  • بالعربية
  • Українська
  • Português (Brasil)