Explore and filter model evaluation results
VLMEvalKit Evaluation Results Collection
Finance chatbot using vectara-agentic
Filter and view AI model leaderboard data
Build, preprocess, and train machine learning models
Analyze and visualize Hugging Face model download stats
Predict linear relationships between numbers
Monitor application health
M-RewardBench Leaderboard
Explore income data with an interactive visualization tool
Profile a dataset and publish the report on Hugging Face
Calculate and explore ecological data with ECOLOGITS
Compare classifier performance on datasets
GTBench is a powerful data visualization tool designed to help users explore and filter model evaluation results. It provides an interactive interface to analyze and compare performance metrics, making it easier to understand and optimize AI models.
• Interactive Dashboards: Visualize evaluation results in a user-friendly dashboard
• Advanced Filtering: Easily filter results based on specific criteria
• Comparison Tools: Compare multiple models or iterations side-by-side
• Custom Visualizations: Generate tailored charts and graphs
• Model Support: Compatible with a wide range of AI and machine learning models
• Integration Capabilities: Seamless integration with popular data sources
What systems does GTBench support?
GTBench is designed to work with popular operating systems, including Windows, macOS, and Linux.
Can I use GTBench for models outside of AI?
While GTBench is optimized for AI models, it can be adapted for other types of model evaluations with proper configuration.
Where can I find help if I encounter issues with GTBench?
Visit the official GTBench documentation or community forums for troubleshooting and support.