This repository is a collection of specialized toolsets and libraries for large language model prompt engineering and security testing. It provides a library of advanced templates and frameworks designed to optimize the quality and specificity of model responses.
The project includes resources for red teaming and security research, featuring a repository of prompts designed to bypass safety filters and operational constraints. It also provides techniques for system prompt extraction to reveal the internal instructions and configurations of AI personas.
The collection covers a broader surface of prompt optimization and security hardening, including methodologies for iterative refinement and the implementation of defensive rules to protect models against prompt injection and leaks.
