Giskard is a pioneering open-source solution designed to eliminate risks associated with biases, performance issues, and errors in ML models. With just a few lines of code, users can seamlessly integrate Giskard into their existing pipelines, ensuring the quality and reliability of their AI models. From tabular models to Large Language Models (LLMs), Giskard offers comprehensive testing capabilities, including performance bias detection, robustness checks, and ethical behavior assessments. The platform's vision is to set new standards in AI safety and quality assurance.
Giskard is perfect for ML teams and data scientists who prioritize the quality and reliability of their AI models. Its comprehensive testing suite ensures that models are free from biases, performance issues, and other potential vulnerabilities.
Giskard offers a comprehensive open-source testing framework for ML models, ensuring top-tier quality, reliability, and safety in AI applications.