What is AGI-Eval
AGI-Eval is a large model evaluation community jointly released by Shanghai Jiao Tong University, Tongji University, East China Normal University, DataWhale, and other universities and institutions. It aims to build a fair, credible, scientific, and comprehensive evaluation ecosystem, with the mission of "Evaluation empowers, making AI a better partner for humanity." It is specifically designed to assess the general capabilities of foundation models in tasks related to human cognition and problem-solving. AGI-Eval evaluates model performance through these exams, which are directly related to human decision-making and cognitive abilities. Measuring model performance in terms of human cognitive abilities helps to understand its applicability and effectiveness in real life.
Main Features of AGI-Eval
- Large Model Leaderboard: Based on a general evaluation scheme, it provides a ranking leaderboard of the capabilities of large language models in the industry. The leaderboard covers comprehensive evaluations and evaluations of various capability items. The data is transparent and authoritative, helping you gain an in-depth understanding of the strengths and weaknesses of each model. The leaderboard is updated regularly to ensure you have the latest information and can find the most suitable model solution.
- AGI-Eval Human-Machine Evaluation Competition: Dive into the world of model evaluation, collaborate with large models to support technological development, and build human-machine collaborative evaluation solutions.
- Evaluation Sets：
- Public Academic: Industry public academic evaluation sets, available for users to download and use.
- Official Evaluation Sets: Officially self-built evaluation sets, covering model evaluation in multiple domains.
- User-Built Evaluation Sets: The platform supports users in uploading personal evaluation sets and jointly building an open-source community. It perfectly achieves the combination of automatic and manual evaluation; it also hosts private datasets from top university experts.
- Data Studio：
- High User Activity: A 30K+ crowdsourcing user platform, enabling the collection of more high-quality real data.
- Diverse Data Types: Professional data with multiple dimensions and domains.
- Diversified Data Collection: Methods such as single data entries, expanded data, Arena data, etc., to meet different evaluation needs.
- Complete Review Mechanism: Machine review + human review, a multiple review mechanism to ensure data quality.
AGI-Eval Official Website Address
- Official Website Address：agi-eval.cn
Application Scenarios of AGI-Eval
- Model Performance Evaluation: AGI-Eval provides a complete dataset, baseline system evaluation, and detailed evaluation methods, and is an authoritative tool for measuring the comprehensive capabilities of AI models.
- Language Evaluation: AGI-Eval integrates Chinese and English bilingual tasks, providing a comprehensive evaluation platform for the language capabilities of AI models.
- NLP Algorithm Development: Developers can use AGI-Eval to test and optimize the performance of text generation models and improve the quality of generated text.
- Scientific Research Experiments: Scholars can use AGI-Eval as a tool to evaluate the performance of new methods and promote research progress in the field of natural language processing (NLP).
