


The latest list of C-Eval Chinese large models is released, with Yuntian Lifei ranking first
Recently, the C-Eval Chinese large model list was updated, and Yuntian Lifei large model ranked first on the list with an average score of 77.1. (The list currently has 62 models)
C-Eval is a comprehensive examination evaluation for Chinese language models jointly built by Tsinghua University, Shanghai Jiao Tong University and Edinburgh University set. It contains 13,948 multiple-choice questions covering 52 different subjects and four difficulty levels, making it one of the most influential Chinese assessment sets in the world.
The basic large model of "Yuntianshu" contains three levels: general large model, industry large model, and scene large model. Yuntian Lifei is based on the algorithm development platform and algorithm chip platform, and produces general large models through massive high-quality data pre-training; on the basis of general large models, high-quality industry data is introduced to produce industry large models; and then on the basis of industry large models On the basis of fine-tuning the large R&D scene model through subdivided scene data. Through such a three-level architecture, large models can empower thousands of industries.
While polishing its internal strength, Yuntian Lifei is also actively working with partners to build a domestic large model ecosystem.
At the 2023 World Artificial Intelligence Conference, Yuntian Lifei jointly launched a large model ecological cooperation community with China Academy of Information and Communications Technology, Tsinghua University, Shanghai Data Exchange, Tencent and other enterprises and institutions. The government consulting service system based on the Yuntian Lifei large model was also selected into the "2023 General Artificial Intelligence Innovative Application Case Collection".
At the same time, Yuntian Lifei has also been cooperating with Huawei to explore joint innovation of large models based on Shengteng AI.
In the future, Yuntian Lifei will continue to strengthen the research and development of large models and contribute to the development of general artificial intelligence in China.
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