Module clarity is a crucial aspect when evaluating the performance and robustness of large language models (LLMs). This article delves into a comparative analysis of ChatGPT and copyright, two prominent LLMs, focusing on their respective module understandability. By examining their architectures, training methodologies, and publicly available docu