LLM-Specific MLOps: Monitoring Drift, Hallucination, and Cost in Production LLM Pipelines
Traditional MLOps focuses heavily on predictive modeling, where metrics like accuracy, precision, and recall provide clear signals about model performance. However, deploying Large Language Models (LLMs) introduces a unique set of challenges that render standard monitoring tools insufficient. In ...