Acronym · Fast-moving · Intermediate
MLOps / LLMOps
Also known as: MLOps, LLMOps
MLOps and LLMOps are the operational disciplines for running machine learning and language-model systems in production.
What MLOps / LLMOps is
MLOps covers training pipelines, registries and drift monitoring. LLMOps covers prompts, evaluations, cost, latency and provider changes.
How it works
Both rely on versioning, automated evaluation gates, tracing and monitoring, applied to models and prompts respectively.
Why it matters
Most of an AI system's total cost and risk arrives after launch, which is what these practices address.
Common uses
- →Production monitoring
- →Prompt regression testing
- →Cost control
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