# Model Performance

Humanity's Last Exam is a multimodal benchmark test collaboratively developed by global experts to evaluate the performance of large language models in academic settings. It includes 3,000 questions contributed by nearly 1,000 experts from over 500 institutions across 50 countries, covering more than 100 disciplines. This test aims to serve as the ultimate closed-form academic benchmark, pushing the limits of models to advance AI technology. Its main advantage is its high difficulty, effectively assessing model performance on complex academic questions.

Evidently AI is an open-source Python library designed for monitoring machine learning models, and it supports the assessment of LLM-driven products ranging from RAGs to AI assistants. It offers monitoring for data drift, data quality, and production ML model performance, with over 20 million downloads and more than 5,000 stars on GitHub, making it a trusted monitoring tool in the machine learning domain.

SuperCLUE is an online platform for evaluating and comparing the performance of large language models. It offers a variety of tasks and leaderboards, aiming to provide AI researchers and developers with a standardized testing environment. SuperCLUE supports various AI application scenarios, including mathematical reasoning, code generation, and long-text processing, enabling users to accurately assess their model's performance and capabilities across different tasks.

Annotate focuses on generating high-quality, small-batch data. We optimize efficiency by directly integrating, improving the user experience, and leveraging AI tools to address the most urgent challenges in generative AI. Our expertise spans video processing, code generation, and multilingual tasks. Only 6% of companies report data accuracy exceeding 90%, over 40% of enterprises fail to meet their goals, and 76% of CEOs are concerned about potential bias in AI models. Annotate can be applied to various video annotation scenarios, such as surveillance, construction, and sports. If you are interested in partnering with us, please send us a message or fill out the interest form.