The article focuses on core KPIs for tracking the performance of large language models (LLMs), emphasizing the importance of measuring metrics that reflect model efficiency, user engagement, and overall effectiveness. It outlines various methods and tools for monitoring these metrics to enhance the performance and usability of LLMs in different applications.