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How does LLMOps differ from traditional MLOps, and how do you version and manage prompts in production?

LLMOps is not MLOps with bigger models. The signal is the genuinely new surfaces (prompts as deployable artifacts, eval-driven development, often no training step) and treating prompts with the same version discipline as code.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

LLMOps is not MLOps with bigger models. The signal is the genuinely new surfaces (prompts as deployable artifacts, eval-driven development, often no training step) and treating prompts with the same version discipline as code.

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