llm-attacks / llm-attacks

The `llm-attacks` repository is a pivotal resource for researchers and developers dedicated to understanding and mitigating vulnerabilities in Large Language Models (LLMs). This project provides a framework and tools to research and demonstrate adversarial attacks against LLMs, moving beyond theoretical discussions to practical application. By actively probing LLM weaknesses, the project aims to identify potential exploitation vectors, develop robust defense mechanisms, and ultimately contribute to the creation of more secure and reliable AI systems. It serves as an essential toolkit for anyone involved in AI security, red-teaming LLMs, or striving to build resilient AI applications, emphasizing a proactive approach to AI safety and ethical deployment.