Embed and use ZeroEval for evaluation tasks
Display a welcome message on a webpage
Generate synthetic dataset files (JSON Lines)
Generate detailed data profile reports
Life System and Habit Tracker
Search and save datasets generated with a LLM in real time
Leaderboard for text-to-video generation models
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Display document size plots
Execute commands and visualize data
Check system health
Visualize amino acid changes in protein sequences interactively
This project is a GUI for the gpustack/gguf-parser-go
ZeroEval Leaderboard is a data visualization tool designed to help users evaluate and compare AI models effectively. It provides a centralized platform to embed and utilize ZeroEval for various evaluation tasks, making it easier to track performance metrics and benchmark AI solutions.
• Real-Time Updates: Track performance metrics as they change with real-time data updates.
• Customizable Dashboards: Tailor the visualization to focus on key performance indicators relevant to your tasks.
• Historical Data Tracking: Analyze trends and improvements in model performance over time.
• Advanced Filtering: Narrow down data to specific models, tasks, or timeframes for precise analysis.
• Multiple Visualization Options: Choose from charts, tables, and other visualizations to present data effectively.
• Integration with AI Tools: Seamlessly embed ZeroEval into your existing AI workflows and tools.
• Responsive Design: Access the leaderboard from various devices with an optimized viewing experience.
What is ZeroEval Leaderboard used for?
ZeroEval Leaderboard is used to evaluate and compare the performance of AI models, providing insights through visualized data.
Can I customize the appearance of the leaderboard?
Yes, users can customize the dashboard layout, choose visualization types, and apply filters to focus on specific metrics.
How often is the leaderboard updated?
The leaderboard updates in real-time, ensuring that users always have the most current performance data. However, delays may occur based on the frequency of model evaluations.