Scale Leaderboard

Scale Leaderboard is a platform focused on AI model performance evaluation, providing expert-driven private evaluation data sets to ensure that evaluation results are fair and pollution-free.

The platform regularly updates the rankings, including new data sets and models, creating a dynamic competitive environment. Assessments are conducted by rigorously vetted experts using domain-specific methodologies, ensuring high quality and credibility.

Demand group:

AI researchers and developers, who need a fair and reliable platform to evaluate and compare the performance of different AI models. The platform can help them identify the strengths and weaknesses of the model to guide model improvement and optimization.

Example of usage scenario:

GPT-4 Turbo Preview ranked first in the Programming category with a score of 1155.

Claude 3 Opus ranked first in the math category with a score of 95.19.

GPT-4o ranks second in the instruction compliance category with a score of 88.57.

Product features:

Private evaluation datasets to prevent data manipulation.

The leaderboard is updated regularly with new datasets and models.

Experts conduct assessments using domain-specific methods.

Provide detailed information on assessment methodology.

Leaderboards include categories such as programming, math, instruction following, and Spanish.

Usage tutorial:

1. Visit the Scale Leaderboard website.

2. View the rankings of AI models in different categories.

3. Select a model of interest to learn its performance score and ranking.

4. Read the assessment methodology and understand the basis for scoring.

5. If you would like to add your model to the leaderboard, contact [email protected].