Yi explains how Twitter utilizes Apache Airflow primarily for offline training, while real-time predictions are handled by dedicated prediction servers. He clarifies that their machine learning workflows focus on model training rather than batch scoring, emphasizing the need for immediate responses to user requests for advertisements.
