LLMOps vs MLOps
LLMOps (Large Language Model Operations) and MLOps (Machine Learning Operations) both come up in ai & ml conversations and get confused. Here's the plain-English difference, side by side, so you can use each one with confidence.
The key difference: LLMOps refers to large language model operations, while MLOps refers to machine learning operations — they describe different things even when they show up in the same sentence.
LLMOps — Large Language Model Operations
The operational discipline of deploying, monitoring, and improving LLMs in production — prompts, evals, guardrails, costs, and drift. MLOps for the LLM era, where the model is rented and the moat is the workflow around it.
MLOps — Machine Learning Operations
The discipline of deploying, monitoring, and maintaining ML models in production — combining ML, DevOps, and data engineering.
When to use LLMOps
Reach for "LLMOps" when the conversation is specifically about large language model operations. The operational discipline of deploying, monitoring, and improving LLMs in production — prompts, evals, guardrails, costs, and drift. MLOps for the LLM era, where the model is rented and the moat is the workflow around it.
When to use MLOps
Reach for "MLOps" when the conversation is specifically about machine learning operations. The discipline of deploying, monitoring, and maintaining ML models in production — combining ML, DevOps, and data engineering.
FAQs
What is the difference between LLMOps and MLOps?
LLMOps stands for Large Language Model Operations — The operational discipline of deploying, monitoring, and improving LLMs in production — prompts, evals, guardrails, costs, and drift. MLOps for the LLM era, where the model is rented and the moat is the workflow around it. MLOps stands for Machine Learning Operations — The discipline of deploying, monitoring, and maintaining ML models in production — combining ML, DevOps, and data engineering.
Are LLMOps and MLOps the same thing?
No. They're often used in the same conversation because they're related, but they describe different concepts. LLMOps = Large Language Model Operations. MLOps = Machine Learning Operations.
When should I use LLMOps vs MLOps?
Use LLMOps when you're specifically referring to large language model operations. Use MLOps when the topic is machine learning operations.