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Model Benchmarking
Leaderboard

Leaderboard

Display and submit language model evaluations

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What is Leaderboard ?

Leaderboard is a platform designed for model benchmarking, allowing users to display and submit language model evaluations. It serves as a centralized tool for comparing and tracking the performance of different AI models, providing insights into their capabilities and improvements over time.

Features

  • Model Comparison: Easily compare performance metrics of multiple models.
  • Evaluation Submission: Users can submit their own model evaluations for inclusion on the leaderboard.
  • Results Visualization: Data is presented in a clear, structured format for easy analysis.
  • Tracking Progress: Monitor improvements in model performance over time.
  • Customizable Views: Filter and sort data based on specific criteria.
  • Community Engagement: Share findings and collaborate with others in the AI research community.

How to use Leaderboard ?

  1. Access the Platform: Visit the Leaderboard website or integrate it into your workflow.
  2. Submit Evaluations: Provide your model's performance data in the required format.
  3. View Results: Browse the leaderboard to see how your model compares to others.
  4. Filter and Sort: Use available options to tailor the data to your needs.
  5. Analyze Trends: Track changes in model performance over time to identify improvements.
  6. Share Insights: Export or share findings with colleagues or the broader community.

Frequently Asked Questions

What is the purpose of Leaderboard?
Leaderboard is a tool for benchmarking language models, enabling users to compare and track model performance in a structured manner.

How do I submit my model's evaluation?
To submit your model's evaluation, follow the guidelines provided on the platform, ensuring your data is in the correct format and includes all required metrics.

What are the benefits of using Leaderboard?
Using Leaderboard allows you to gain insights into your model's performance, identify areas for improvement, and benchmark against industry standards and other models.

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