Transitioning from MLOps to LLMOps

Capture

MDPI paper on differences between MLOps and LLMOps and the operational/security challenges introduced by LLM systems.

Glossary Gap Coverage

• Large Language Model
• MLOps / LLMOps
• Model Drift
• AI Governance
• Fine-tuning
• Guardrails

Security Relevance

The source supports glossary expansion for operational AI lifecycle terms. It is useful for distinguishing traditional ML model operations from LLM operations where prompt, retrieval, evaluation, monitoring, and safety controls become first-class operational artifacts.

Notes

• Inspect full paper during ingest before extracting exact claims.