Introduction Continuous Training Pipelines are the backbone of modern AI systems that don’t just stop improving after deployment—they keep learning, adapting, and retraining as new data flows in. In simple terms, a continuous training pipeline automates the entire lifecycle of updating machine learning or foundation models: data ingestion, preprocessing, training, evaluation, validation, and deployment—repeated continuously Read More