Large Language Models (LLMs) have the potential to improve credit decision-making processes by analyzing vast amounts of data more efficiently than traditional methods. By leveraging advanced algorithms, LLMs can identify patterns and insights that may enhance risk assessment and borrower evaluations. However, challenges related to data privacy and ethical considerations must be addressed to ensure responsible implementation.