
Artificial intelligence systems, particularly large language models (LLMs), have showcased remarkable capabilities in generating human-like text. However, these advancements come with a significant drawback: hallucinations. Such hallucinations refer to the tendency of LLMs to produce fabricated facts that sound plausible but are not rooted in reality. This problem becomes especially concerning when these systems are deployed in contexts where accuracy