The set of practices for running, watching, and improving LLM systems over time.
Launching an LLM is not the finish line. LLMOps is like caring for a talking factory machine. You watch the gauges. You catch alarms fast.
It is used in real AI products at work. It keeps models live, stable, and easier to update.
LLM
LLMOps centers on getting the LLM live, watched, and updated.
Inference
LLMOps works to keep inference stable in daily use.
Fine-tuning
LLMOps manages new versions made by fine-tuning.
LLM-as-a-judge
LLMOps often uses LLM-as-a-judge for automatic evaluation.