The article discusses the importance of Large Language Model Operations (LLMOps) as Large Language Models (LLMs) are being used in real-world enterprise applications. LLMOps focuses on aspects such as model training, prompt and inference optimization, version control, governance, monitoring, and compliance. Key building blocks of LLMOps include a Model Registry with Prompt Versioning, Scalable Inference Infrastructure, Observability and Feedback Loops, and Compliance and Governance. LLMOps helps teams avoid chaos in AI production and ensures sustainable value as enterprises scale LLM adoption.