Filter and view AI model leaderboard data
Select and analyze data subsets
https://huggingface.co/spaces/VIDraft/mouse-webgen
This is a timeline of all the available models released
Compare classifier performance on datasets
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Display a Bokeh plot
Analyze Shark Tank India episodes
Monitor application health
Gather data from websites
Analyze and visualize your dataset using AI
Cluster data points using KMeans
Generate detailed data reports
LLM Leaderboard for CRM is a data visualization tool designed to help businesses analyze and compare AI model performance within their CRM systems. It provides a centralized platform to track, filter, and visualize leaderboard data, enabling users to make data-driven decisions and optimize their AI strategies.
• Real-time Performance Tracking: Monitor AI model performance metrics in real-time. • Customizable Filters: Filter data by specific criteria such as model type, accuracy, or usage. • Side-by-Side Comparisons: Compare multiple AI models to evaluate strengths and weaknesses. • Historical Data Analysis: Access and analyze performance trends over time. • Interactive Visualizations: Generate charts, graphs, and heatmaps for clear data representation. • Multi-Model Support: Compatible with various AI models and frameworks. • Integration Ready: Easily integrates with existing CRM systems.
What is the purpose of LLM Leaderboard for CRM?
The purpose of LLM Leaderboard for CRM is to provide a user-friendly interface for tracking and comparing AI model performance within your CRM system, helping businesses optimize their AI strategies.
How does the app ensure data accuracy?
The app pulls real-time data from connected AI models and CRM systems, ensuring that the leaderboard reflects the most up-to-date performance metrics.
Can I customize the visualizations?
Yes, users can customize the visualizations by applying filters, selecting specific models, and choosing from various chart types to suit their needs.