Learning diverse attacks on large language models for robust red-teaming and safety tuning

Seanie Lee, Minsu Kim, Lynn Cherif +8

Red-teaming, or identifying prompts that elicit harmful responses, is a critical step in ensuring the safe and responsible deployment of large language models (LLMs). Developing ef…