X @Avi Chawla

Core Differences - DevOps focuses on software deployment and testing, with a straightforward feedback loop [1] - MLOps centers on model performance, addressing data drift and model decay over time [1] - LLMOps is foundation-model-centric, emphasizing optimization through prompt engineering, context/RAG setup, and fine-tuning [2][4] Monitoring & Evaluation - 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 evaluation loop simultaneously feeds back into prompt engineering, context/RAG setup, and fine-tuning [3] Key Considerations for LLMOps - Prompt versioning and RAG pipelines are essential components in LLMOps [3] - Choosing the right ops layer should align with the system being built [3]