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Giskard develops open-source testing framework for LLMs
Generative AI Infrastructure
Nov 14, 2023
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Nov 14, 2023

Giskard develops open-source testing framework for LLMs

Product updates

  • Giskard, the developer of ML testing solutions, has developed an open-source testing framework for large language models (LLMs), aiming to identify biases, security vulnerabilities, and the potential generation of harmful or toxic content.

  • The newly developed product by Giskard is an open-source Python library integrated into LLM projects, specifically focusing on retrieval-augmented generation (RAG) projects.

  • It is compatible with various ML tools like Hugging Face, MLFlow, and TensorFlow where it assists in generating a test suite covering issues such as performance, biases, misinformation, and harmful content. Giskard enables continuous testing through integration with CI/CD pipelines.

  • The firm claims the framework was launched in response to the increasing need for ML testing systems due to impending regulations such as the EU's AI Act. 

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