Browse and filter LLM benchmark results
Display a treemap of languages and datasets
Classify breast cancer risk based on cell features
Profile a dataset and publish the report on Hugging Face
Create a detailed report from a dataset
Explore how datasets shape classifier biases
Generate a data profile report
Generate financial charts from stock data
statistics analysis for linear regression
Evaluate model predictions and update leaderboard
Search and save datasets generated with a LLM in real time
Display server status information
M-RewardBench Leaderboard
The Open PL LLM Leaderboard is a data visualization tool designed to help users browse and filter benchmark results of large language models (LLMs). It provides a comprehensive platform for comparing the performance of various LLMs across different tasks and datasets. This tool is particularly useful for researchers, developers, and enthusiasts looking to understand the capabilities and limitations of different models in the ever-evolving field of AI.
What is the purpose of the Open PL LLM Leaderboard?
The purpose of the Open PL LLM Leaderboard is to provide a transparent and accessible platform for comparing the performance of different large language models across various tasks and datasets.
How is the leaderboard updated?
The leaderboard is regularly updated with new benchmark results as more models are evaluated and released. Updates are typically driven by contributions from the AI research community.
Can I contribute to the leaderboard?
Yes, contributions are encouraged. Users can submit new benchmark results or suggest improvements to the leaderboard by following the guidelines provided on the platform.