LLMOps
MLOps
The practices and tooling to run models in production: versioning, deployment, monitoring, evals, rollback. DevOps for systems that change behaviour.
01In short
The practices and tooling to run models in production: versioning, deployment, monitoring, evals, rollback. DevOps for systems that change behaviour.
02Video
slot · videoLLMOps in 90 secondsadd: GUIDES['llmops'].video
03Guide
slot · guide
A step-by-step guide for “LLMOps” goes here. Suggested outline:
- What it is — in one paragraph
- Why it matters in production
- How to do it — 3 to 7 steps
- Pitfalls we see in the field
04Checklist
slot · checklist
Four to eight things a team can tick before go-live.
05FAQ
slot · FAQ
The three questions clients actually ask about “LLMOps”.
06Related terms
EvaluationObservabilityTracing every request: input, retrieved context, tool calls, output, cost and latency.EvaluationRegressionWhen a change — a new prompt, a new model version — breaks something that used to work.OperationsRunbookThe document that says what to do when the system misbehaves: who owns it, how to roll back, whom to wake up.
Where we help · Enable