Launch web-based model application
Submit models for evaluation and view leaderboard
Explore and submit models using the LLM Leaderboard
Evaluate and submit AI model results for Frugal AI Challenge
View and compare language model evaluations
View NSQL Scores for Models
Calculate memory usage for LLM models
View and submit LLM benchmark evaluations
Text-To-Speech (TTS) Evaluation using objective metrics.
View and submit LLM evaluations
Multilingual Text Embedding Model Pruner
Browse and evaluate language models
Create and manage ML pipelines with ZenML Dashboard
AICoverGen is a web-based application designed for model benchmarking and generating comprehensive coverage reports. It leverages advanced AI technology to assess and compare the performance of different models, providing detailed insights into their strengths and limitations.
• Model Benchmarking: Evaluate and compare the performance of multiple models across various datasets and metrics.
• Coverage Analysis: Generate detailed reports highlighting the coverage of models in terms of accuracy, precision, and recall.
• Customizable Metrics: Define specific evaluation criteria to align with your project requirements.
• User-Friendly Interface: Intuitive design for easy navigation and report generation.
• Cross-Model Comparison: Directly compare performance metrics of different models in a single dashboard.
What models are supported by AICoverGen?
AICoverGen supports a wide range of machine learning models, including but not limited to classification, regression, and deep learning models. For a full list, refer to the documentation.
Can I customize the evaluation metrics?
Yes, AICoverGen allows users to define custom evaluation metrics to tailor the benchmarking process to their specific needs.
How do I interpret the coverage reports?
Coverage reports provide a visual and numerical representation of model performance. Higher coverage indicates better performance on the selected metrics. Use the legends and tooltips in the report for detailed insights.