Embed and use ZeroEval for evaluation tasks
VLMEvalKit Evaluation Results Collection
Calculate VRAM requirements for running large language models
Check your progress in a Deep RL course
Explore and submit NER models
Finance chatbot using vectara-agentic
Analyze autism data and generate detailed reports
Generate a data profile report
Generate synthetic dataset files (JSON Lines)
Search and save datasets generated with a LLM in real time
Generate financial charts from stock data
Generate detailed data reports
Generate a co-expression network for genes
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.