View and compare pass@k metrics for AI models
Analyze data using Pandas Profiling
Evaluate model predictions and update leaderboard
Evaluate diversity in data sets to improve fairness
Finance chatbot using vectara-agentic
Explore income data with an interactive visualization tool
Explore token probability distributions with sliders
Monitor application health
Generate a data report using the pandas-profiling tool
Display a Bokeh plot
Select and analyze data subsets
Browse and compare Indic language LLMs on a leaderboard
Generate a detailed dataset report
WebApp1K Models Leaderboard is a data visualization tool designed to help users view and compare pass@k metrics for various AI models. It provides a comprehensive platform for evaluating and benchmarking model performance in a clear and accessible way.
• Pass@k Metrics Leaderboard: Get a rankings-based overview of AI models based on their pass@k performance.
• Interactive Visualizations: Explore data through charts, graphs, and tables to gain deeper insights.
• Real-Time Updates: Stay informed with the latest metrics as models are updated or new models are added.
• Filtering and Sorting: Narrow down results by specific criteria like model type, dataset, or performance range.
• Side-by-Side Comparisons: Directly compare multiple models to understand their strengths and weaknesses.
• User-Friendly Interface: Intuitive design makes it easy for both beginners and experts to navigate.
What are pass@k metrics?
Pass@k metrics measure the performance of AI models by evaluating their ability to complete tasks successfully up to a certain step (k).
How do I filter models on the leaderboard?
Use the filtering options provided in the interface to sort models by specific criteria like dataset, model type, or performance range.
Does the leaderboard update automatically?
Yes, the leaderboard updates in real-time as new data becomes available, ensuring you always see the most current metrics.