LLMOps

LLMOps (Large Language Model Operations) is the specialized practice for reliably deploying, monitoring, and governing LLMs (e.g., GPT-4, Llama) across their entire production lifecycle.

LLMOps is the operational framework for taking Large Language Models from prototype to production at scale. It extends MLOps by addressing unique LLM challenges: prompt management, continuous evaluation (for toxicity, hallucination), and cost optimization (tracking token usage, managing GPU resources). The process mandates a CI/CD pipeline that handles foundation model selection, fine-tuning via techniques like RAG, secure deployment, and real-time monitoring of model drift and latency. This ensures models remain performant, safe, and cost-efficient for mission-critical applications.

https://cloud.google.com/discover/llmops