Giskard
Giskard is an open-source Python library designed for evaluating and testing AI applications, particularly focusing on Large Language Models (LLMs). It helps developers identify performance, bias, and security issues in their AI systems.
Key Features:
- Automated Scanning: Automatically assess LLM-based agents for various issues, including performance and bias.
- RAG Evaluation Toolkit (RAGET): Generate evaluation datasets and assess RAG application answers.
- Seamless Integration: Works with any model in any environment, integrating easily with popular tools.
- Community Support: Join a thriving community for contributions and feedback.
Benefits:
- Risk Management: Control risks associated with AI performance and security.
- Enhanced Testing: Automatically generate test suites based on detected issues.
- Open Source: Free to use and contribute, fostering collaboration in the AI community.
Highlights:
- Supports Python 3.9, 3.10, and 3.11.
- Comprehensive documentation and community engagement.
- Encourages contributions from users to improve the tool.
