Large Language Models (LLMs) have achieved remarkable feats, creating human-quality text and performing LLM Audit, AI Answers a variety of tasks. However, these powerful tools are not immune to the biases present in the data they are trained on. This presents a critical challenge: ensuring that LLMs provide equitable and fair answers, regardless of