Launch web-based model application
Benchmark LLMs in accuracy and translation across languages
Compare LLM performance across benchmarks
Display and submit LLM benchmarks
Calculate memory needed to train AI models
Convert Hugging Face models to OpenVINO format
Explore and visualize diverse models
View and submit LLM benchmark evaluations
Display leaderboard for earthquake intent classification models
Download a TriplaneGaussian model checkpoint
Persian Text Embedding Benchmark
Create and upload a Hugging Face model card
Display benchmark results
AICoverGen is a web-based application designed for model benchmarking, enabling users to evaluate AI models efficiently. It provides a user-friendly interface to launch and manage model benchmarking tasks, catering to both experts and non-experts. The tool simplifies the process of comparing and analyzing AI models, making it accessible for a broad range of users.
• Automated Benchmarking: AICoverGen streamlines the benchmarking process with minimal manual intervention. • Customizable Benchmarks: Users can define specific criteria and metrics for evaluation. • Real-Time Results: Generates performance metrics and insights in real-time for quick decision-making. • Cross-Model Compatibility: Supports benchmarking across multiple AI models and frameworks. • Data Visualization: Provides detailed charts and graphs to compare model performance effectively. • Flexible Deployment: Compatible with both cloud-based and on-premises environments.
What models does AICoverGen support?
AICoverGen supports a wide range of AI models, including popular frameworks like TensorFlow, PyTorch, and more.
Do I need advanced technical skills to use AICoverGen?
No, AICoverGen is designed to be user-friendly, allowing even non-experts to benchmark models effectively.
How long does the benchmarking process take?
The duration depends on the model size and selected benchmarking parameters. AICoverGen optimizes the process for faster results.