Browse LLM benchmark results in various categories
Filter and view AI model leaderboard data
Generate detailed data profile reports
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Search and save datasets generated with a LLM in real time
Label data for machine learning models
Build, preprocess, and train machine learning models
Analyze and compare datasets, upload reports to Hugging Face
Create detailed data reports
Profile a dataset and publish the report on Hugging Face
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The LLM Leaderboard for SEA is a comprehensive tool designed to help users compare and evaluate the performance of various Large Language Models (LLMs) across different categories and use cases. It provides a centralized platform to explore benchmark results, enabling users to make informed decisions based on data-driven insights. This tool is particularly tailored for the Southeast Asian (SEA) region, focusing on relevance and applicability within this context.
1. What types of tasks can I evaluate using this leaderboard?
The LLM Leaderboard for SEA supports evaluation across a wide range of tasks, including but not limited to text generation, summarization, translation, question answering, and text classification.
2. How often are the benchmark results updated?
Benchmark results are updated regularly to reflect the latest advancements in LLM technology. Updates are typically performed on a quarterly basis, with real-time updates for major model releases.
3. How can I interpret the benchmark scores?
Benchmark scores are presented in a standardized format, allowing for easy comparison between models. Higher scores generally indicate better performance, but users should consider the specific task and category when interpreting results.
4. Does the leaderboard support non-English languages?
Yes, the leaderboard includes support for various Southeast Asian languages, ensuring relevance for users in the region.