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Text Analysis
Stick To Your Role! Leaderboard

Stick To Your Role! Leaderboard

Compare LLMs by role stability

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What is Stick To Your Role! Leaderboard ?

Stick To Your Role! Leaderboard is a tool designed to compare and evaluate Large Language Models (LLMs) based on their ability to maintain role consistency. It provides insights into how well different models adhere to their assigned roles during interactions, helping users understand their strengths and weaknesses in contextual tasks.

Features

• Role Stability Score: Measures how consistently an LLM stays in character and follows its assigned role.
• Model Comparison: Allows side-by-side comparison of multiple models to evaluate performance differences.
• Interactive Charts: Visualize performance trends and benchmarks across various tasks and scenarios.
• Customizable Parameters: Adjust evaluation criteria to focus on specific aspects of role adherence.
• Real-Time Updates: Stay informed with the latest data as new models and updates are released.

How to use Stick To Your Role! Leaderboard ?

  1. Access the Leaderboard: Visit the platform and explore the available models.
  2. Select Models for Comparison: Choose specific LLMs to evaluate based on your needs.
  3. Configure Evaluation Parameters: Define the roles or tasks you want to test.
  4. Generate Comparison Report: Run the analysis to see how each model performs in maintaining its role.
  5. Analyze Results: Use the visualizations and scores to understand the strengths and weaknesses of each model.

Frequently Asked Questions

What is role stability in the context of LLMs?
Role stability refers to how consistently an LLM maintains its assigned role or task during interactions, avoiding deviations or misalignments.

How does the leaderboard determine the rankings?
Rankings are based on the role stability score, which is calculated through systematic testing and evaluation of each model's performance in adhering to its assigned roles.

Can I customize the evaluation criteria?
Yes, the leaderboard allows users to adjust parameters to focus on specific roles or tasks, providing more relevant insights for their use case.

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