Is It Possible to Truly Understand Performance in LLMs?

The lightning-like growth of large language models (LLMs) has taken the world by storm. Generative artificial intelligence (AI) is radically reshaping business, education, government, academia and other parts of society. Yet, for all the remarkable capabilities these systems deliver--and they are clearly impressive--a major question emerges: how can data scientists measure model performance and fully understand how they gain abilities and skills? It is far from an abstract question. These criteria, in turn, require an understanding of what constitutes correctness.