Enterprise LLMOps: Advancing Large Language Models Operations Practice

This paper provides an in-depth exploration of Enterprise LLMOps, examining the cultivation and operational dynamics of Large Language Models (LLMs) within business contexts. It sheds light on the profound impact LLMs have across various industries, while thoughtfully navigating the associated technical, ethical, and regulatory complexities. At the heart of this study lies the LLMOps framework, an essential practice for managing the LLM lifecycle effectively, structured around the Discover, Distill, Deploy, and Deliver (4D) stages. The research meticulously discusses each element within this 4D framework, elucidating key enablers and providing practical guidelines for utilization. Empirical examples serve to ground the discussion in reality, offering insights into the real-world implementation of LLMOps and unveiling valuable strategies and learnings from successful enterprise applications. The analysis concludes with a forward-looking perspective, forecasting advancements in LLMOps discipline and the continual evolution of ethical considerations and standards.