Test your AI models with Giskard
Predict customer churn based on input details
Explore GenAI model efficiency on ML.ENERGY leaderboard
Search for model performance across languages and benchmarks
Merge machine learning models using a YAML configuration file
Compare and rank LLMs using benchmark scores
Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
Text-To-Speech (TTS) Evaluation using objective metrics.
Display and submit LLM benchmarks
View and submit LLM benchmark evaluations
Export Hugging Face models to ONNX
Evaluate open LLMs in the languages of LATAM and Spain.
Persian Text Embedding Benchmark
Giskard Hub is a cutting-edge platform designed for model benchmarking, enabling users to thoroughly test and evaluate AI models. It provides a comprehensive environment to assess model performance, identify strengths and weaknesses, and ensure optimal results.
• Customizable Testing Framework: Tailor test scenarios to your specific needs
• Performance Tracking: Monitor model performance across different datasets and scenarios
• Cross-Model Comparison: Compare multiple models to identify the best performer
• Comprehensive Reporting: Gain deep insights with detailed analysis and visualizations
• Integration Support: Compatible with popular AI frameworks and libraries
• Secure Environment: Ensures your models and data remain protected
What types of AI models can I test on Giskard Hub?
Giskard Hub supports a wide range of AI models, including but not limited to NLP, computer vision, and machine learning models.
How long does it take to run benchmark tests?
The duration varies depending on the complexity of your model and the scope of the tests. Giskard Hub optimizes processing times for efficient testing.
Is my data safe when using Giskard Hub?
Yes, Giskard Hub employs robust security measures to protect your data and models throughout the testing process.