Giskard - Open-source Solution for AI Quality

🚀 Discover Giskard! 🤖 An open-source AI tool revolutionizing model quality assurance. 🛡️ Detect biases, errors, and security risks effortlessly with just a few lines of code. 🌐 Perfect for data scientists, AI engineers, and compliance enthusiasts. Embrace AI excellence with Giskard! #AIQuality #MLTesting #OpenSource🔍

Giskard is an AI testing framework designed to eliminate biases, performance issues, and security vulnerabilities in AI models with less than 10 lines of code.
It addresses the shortcomings of manual testing and lack of comprehensive AI risk coverage in MLOps tools.
Giskard offers a holistic AI Quality framework to ensure compliance with regulations and optimize model deployment.
The suite includes an ML Testing library for vulnerability detection, AI Quality Hub for collaborative quality assurance, and LLMon for real-time monitoring of LLM-based applications.
It is beneficial for data scientists, ML engineers, AI governance specialists, and those who prioritize performance, security, and compliance in AI models.
Giskard facilitates input gathering and collaboration between data scientists and business stakeholders.
The inclusive community around Giskard focuses on AI Quality and Responsible AI principles.
The AI Quality Hub enables collaborative AI quality assurance, while LLMon helps diagnose critical AI safety risks in real-time.
Giskard's LLM Red Teaming service enhances the safety and security of LLM applications through comprehensive threat models.
Giskard also offers resources like thought leadership articles, red teaming techniques, and guidance on managing data drift in ML models.