C-Eval
C-Eval是由上海交通大学、清华大学和爱丁堡大学联合推出的中文大语言模型评估套件，包含13948道多项选择题，覆盖52个学科和四个难度级别，旨在全面评测模型的中文理解能力。
In today’s rapidly evolving AI landscape, evaluating large models is crucial for assessing their performance and potential. The Beijing Academy of Artificial Intelligence (BAAI), in collaboration with multiple university teams, has launched FlagEval (Libra), a large model evaluation platform designed to provide researchers and developers with scientific, fair, and open evaluation benchmarks and toolsets.
Website Introduction
FlagEval caters to AI researchers and developers, offering comprehensive large model evaluation services to help users gain deep insights into their models’ strengths and weaknesses.
Key Features
The platform employs a ‘Capability-Task-Metric‘ three-dimensional evaluation framework, encompassing over 30 capabilities, 5 tasks, and 4 major categories of metrics, totaling more than 600 evaluation dimensions. The task dimension includes 22 subjective and objective evaluation datasets and 84,433 questions.
Related Projects
FlagEval is a vital component of BAAI’s FlagOpen large model open-source technology system, aiming to build a comprehensive open-source algorithm system and an all-in-one foundational software platform to support large model technology development.
Advantages
The platform supports multiple chip architectures (such as NVIDIA, Ascend, Cambricon, Kunlun) and deep learning frameworks (like PyTorch, MindSpore). It also offers automated and adaptive evaluation mechanisms, significantly enhancing evaluation efficiency and objectivity.
Pricing
Currently, FlagEval is open to users. For specific pricing details, please refer to the latest information on the official website.
Summary
Founded in 2018 and based in Beijing, China, BAAI is dedicated to advancing artificial intelligence technology. Through the FlagEval platform, users can comprehensively assess large model performance, identify potential issues, and optimize models to enhance the quality and efficiency of AI applications.
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