Core Differences - DevOps focuses on software deployment and code functionality [1] - MLOps centers on model performance degradation due to data drift and decay [1] - LLMOps emphasizes optimizing foundation models through prompt engineering, context/RAG setup, and fine-tuning [2][4] Monitoring Focus - MLOps tracks data drift, model decay, and accuracy [2] - LLMOps monitors hallucination detection, bias and toxicity, token usage and cost, and human feedback loops [2][4] LLMOps Unique Aspects - LLMOps evaluation loop impacts prompt engineering, context/RAG, and fine-tuning simultaneously [3] - Prompt versioning and RAG pipelines are essential components in LLMOps [3]