LLM monitoring refers to the process of tracking and analyzing the performance, security, and reliability of large language models (LLMs) in various applications. As LLMs become increasingly integral to AI-driven systems, effective monitoring is crucial for researchers and developers to identify potential issues, optimize model performance, and ensure the overall quality of AI outputs, making LLM monitoring a vital area of research in the tech community.