LLMOps, or Large Language Model Operations, involves specialized practices for the development, deployment, and management of AI models throughout their lifecycle. This includes preprocessing data, training, monitoring, fine-tuning, and deploying language models. LLMOps aims for efficient management, lowering operational costs, and enabling collaboration among data scientists, DevOps engineers, and IT professionals. It focuses on streamlining large language model development, distinct from general machine learning operations (MLOps), with an emphasis on cost efficiency and performance metrics.