More advanced and challenging multi-task evaluation
Display and analyze PyTorch Image Models leaderboard
Create detailed data reports
Label data for machine learning models
Embed and use ZeroEval for evaluation tasks
Explore speech recognition model performance
Explore and compare LLM models through interactive leaderboards and submissions
Try the Hugging Face API through the playground
Generate plots for GP and PFN posterior approximations
Generate synthetic dataset files (JSON Lines)
What happened in open-source AI this year, and what’s next?
Display a welcome message on a webpage
Analyze and visualize your dataset using AI
The MMLU-Pro Leaderboard is a data visualization tool designed for more advanced and challenging multi-task evaluation. It provides a platform to explore and compare the performance of various AI models across multiple tasks and metrics. This leaderboard is particularly useful for researchers and developers looking to benchmark their models against state-of-the-art solutions in a comprehensive and interactive manner.
What is the purpose of the MMLU-Pro Leaderboard?
The MMLU-Pro Leaderboard is designed to provide a comprehensive platform for evaluating and comparing AI models across multiple tasks and metrics. It helps researchers and developers identify state-of-the-art solutions and benchmark their models effectively.
How do I filter models based on specific tasks or metrics?
You can use the interactive sliders, dropdown menus, or the search bar to filter models based on tasks, metrics, or performance thresholds. This allows you to narrow down the results to only the most relevant models for your needs.
Can I export the data from the leaderboard for further analysis?
Yes, the MMLU-Pro Leaderboard supports data export functionality. You can download the filtered or compared data in various formats for offline analysis or reporting.