LLMOps Pipeline: From Dataset Preparation to Safe Prediction
Introduction LLMOps is the operational layer around LLM applications. It is not only model deployment. A useful LLM workflow also needs data preparation, artifact versioning, orchestration, prompt consistency, endpoint management, safety checks, and monitoring. The main lesson from this course is that an LLM application becomes production-ready only when the surrounding system is controlled. The model is one component. The data pipeline, prompt format, evaluation split, deployment strategy, and response metadata are just as important. ...