LLMFuzzer
LLMFuzzer serves as a pioneering open-source fuzzing framework tailored for Large Language Models (LLMs) and their API integrations. Ideal for security enthusiasts and researchers, it streamlines vulnerability testing, enabling users to efficiently uncover and exploit potential weaknesses. Community-driven, it invites contributions to foster ongoing development and improvement.
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Top LLMFuzzer Features
- Open-source framework
- Designed for LLMs
- Streamlined testing process
- Community-driven development
- Extensive fuzzing strategies
- API integration focus
- Vulnerability exploitation tools
- Detailed documentation available
- Customizable architecture
- Support for contributors
- MIT License compliant
- Active community support
- Comprehensive testing examples
- User-friendly interface
- Security-focused features
- Collaboration opportunities
- Feedback-driven improvements
- Continuous development encouragement
- Fuzzing for AI applications
- AI safety enhancement.
