Test your AI models with Giskard
Load AI models and prepare your space
Generate leaderboard comparing DNA models
Track, rank and evaluate open LLMs and chatbots
Evaluate adversarial robustness using generative models
Evaluate LLM over-refusal rates with OR-Bench
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Launch web-based model application
Leaderboard of information retrieval models in French
Browse and submit LLM evaluations
Persian Text Embedding Benchmark
Evaluate and submit AI model results for Frugal AI Challenge
Upload ML model to Hugging Face Hub
Giskard Hub is an advanced platform designed for testing and benchmarking AI models. It provides a comprehensive environment for machine learning engineers and researchers to evaluate and compare the performance of their AI models across various datasets and metrics. With Giskard Hub, users can ensure their models meet the highest standards of quality and reliability.
• Multiple Dataset Support: Test your models on a wide range of datasets to assess performance in diverse scenarios.
• Baseline Model Comparison: Compare your model's performance against industry-standard benchmarks.
• Customizable Metrics: Define and use specific evaluation metrics tailored to your needs.
• Comprehensive Analytics: Gain detailed insights into your model's strengths and weaknesses.
• Integration Capabilities: Easily integrate with popular machine learning frameworks and tools.
What types of models can I test on Giskard Hub?
Giskard Hub supports a wide range of AI models, including classification, regression, and generative models. It is compatible with most machine learning frameworks.
Can I use my own datasets for benchmarking?
Yes, Giskard Hub allows you to upload and use your own datasets for model evaluation.
How do I share my benchmarking results?
You can generate shareable reports or export results in various formats (e.g., CSV, JSON) for easy collaboration with your team.