Browse LLM benchmark results in various categories
Search and save datasets generated with a LLM in real time
Monitor application health
Build, preprocess, and train machine learning models
Evaluate LLMs using Kazakh MC tasks
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
What happened in open-source AI this year, and what’s next?
Visualize dataset distributions with facets
Mapping Nieman Lab's 2025 Journalism Predictions
Try the Hugging Face API through the playground
Browse and filter LLM benchmark results
Submit evaluations for speaker tagging and view leaderboard
Analyze and visualize Hugging Face model download stats
The LLM Leaderboard for SEA is a powerful tool designed for Data Visualization that allows users to browse and compare benchmark results of various Large Language Models (LLMs) across different categories and use cases. It provides a comprehensive platform to visualize performance metrics, enabling users to make informed decisions about which models best suit their needs. Whether you're a developer, researcher, or business professional, this leaderboard offers insights into the strengths and capabilities of leading LLMs in the market.
• Benchmark Results Browser: Access detailed performance data of LLMs across multiple categories and tasks. • Data Visualization: Interactive charts and graphs to visually compare model performance. • Model Comparison: Side-by-side analysis of different LLMs based on specific metrics. • Filter and Sort: Narrow down results by metrics, use cases, or model types. • Real-Time Updates: Stay current with the latest benchmark results as new models emerge. • User-Friendly Interface: Intuitive design for seamless navigation and analysis.
What does LLM Leaderboard for SEA focus on?
The leaderboard focuses on providing a comprehensive overview of LLM performance across various tasks and industries, helping users identify the best models for their specific needs.
Are the ratings and rankings subjective?
No, the rankings are based on objective benchmark results from standardized tests and evaluations, ensuring unbiased comparisons.
How often is the leaderboard updated?
The leaderboard is updated regularly to include the latest models and benchmark results, ensuring users always have access to the most current data.