Giskard

Giskard

The testing framework for AI models

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Description:

Giskard is an open-source software that ensures the quality of AI models. It provides a comprehensive suite of tools for testing, debugging, and explaining AI models, making it easier for data scientists and ML engineers to develop and deploy safe, reliable, and trustworthy AI applications.

Giskard's ML Testing library is an open-source Python library that can be easily integrated into your existing workflow. It provides a comprehensive set of tests for performance, fairness, and security, helping you to identify and mitigate risks early in the development process.

The AI Quality Hub is an enterprise-ready platform that provides a collaborative environment for testing, debugging, and explaining AI models. It includes visual testing, explainability dashboards, and real-time monitoring, making it easy to track the performance of your AI models and identify any issues.

LLMon is a production monitoring tool for LLM-based applications. It tracks hallucinations, incorrect responses, and toxicity in real-time, helping you to ensure the safety and reliability of your LLM applications.

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Features

Advantages

  • Eliminate risks of biases, performance issues, and security holes in AI models
  • Stop wasting time on manual testing and writing custom evaluation reports
  • Unify AI Testing practices: use standard methodologies for optimal model deployment
  • Ensure compliance with AI regulations using our holistic AI Quality framework
  • Enable collaborative AI Quality Assurance

Disadvantages

  • May require some technical expertise to use effectively
  • May not be suitable for all types of AI models
  • Can be time-consuming to set up and configure

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