Browse and evaluate ML tasks in MLIP Arena
Find and download models from Hugging Face
Display leaderboard of language model evaluations
Convert Hugging Face models to OpenVINO format
Calculate memory needed to train AI models
Leaderboard of information retrieval models in French
Display genomic embedding leaderboard
Compare code model performance on benchmarks
Explore GenAI model efficiency on ML.ENERGY leaderboard
Optimize and train foundation models using IBM's FMS
Explore and submit models using the LLM Leaderboard
Predict customer churn based on input details
Display and submit LLM benchmarks
MLIP Arena is a platform designed for model benchmarking, allowing users to browse and evaluate machine learning models and tasks. It provides a comprehensive environment to explore and compare the performance of different models across various machine learning tasks.
• Task Exploration: Access a wide range of machine learning tasks to analyze model performance.
• Model Comparison: Compare models side-by-side to understand their strengths and weaknesses.
• Performance Visualization: Visualize results and metrics to gain insights into model effectiveness.
• Task Filtering: Narrow down tasks by specific criteria to focus on relevant models.
• Documentation Access: Review detailed documentation for tasks and models to deepen understanding.
What is MLIP Arena used for?
MLIP Arena is used for benchmarking and comparing machine learning models across various tasks, helping users understand model performance and select the best suited for their needs.
Can I filter tasks based on specific criteria?
Yes, MLIP Arena allows users to filter tasks by specific criteria, making it easier to find relevant models and performance data.
Is the performance data subjective?
No, the performance data in MLIP Arena is based on objective metrics and benchmarks, providing unbiased insights into model capabilities.