Large Language Models (LLMs) have recently gained acclaim for their ability to generate highly fluent and coherent responses to user prompts. However, alongside their impressive capabilities come notable flaws. One significant vulnerability is the phenomenon of hallucinations, where the models generate incorrect or misleading information. This issue poses substantial risks, especially in sensitive fields such…