Matrix spillover detection is a crucial in ensuring the integrity of large language models (LLMs). Recent advancements in here artificial intelligence have created unprecedented opportunities for efficiently identifying matrix spillover, a phenomenon where content across different sections of a model transfers. AI-driven approaches leverage advance