OpenCompass 2.0 Large Language Model Leaderboard
Large-scale language model rankings to evaluate model performance in real time.
Product Details
OpenCompass 2.0 is a platform focused on performance evaluation of large language models. It uses multiple closed-source datasets for multi-dimensional evaluation, providing the model with an overall average score and an expertise score. The platform helps developers and researchers understand the performance of different models in language, knowledge, reasoning, mathematics and programming by updating rankings in real time.
Main Features
How to Use
Target Users
This product is suitable for researchers, developers and enterprise decision-makers who need to evaluate and compare the performance of different large-scale language models in order to choose the best model for their projects.
Examples
Researchers use OpenCompass 2.0 to evaluate the performance of different models on specific tasks.
Developers use leaderboards to select language models suitable for developing chatbots.
Enterprise decision-makers decide which model to use to optimize their products based on the ranking data.
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