Dan discusses the importance of maintaining and updating machine learning models, particularly in the realm of cybersecurity. He explains how their auto retraining pipeline ensures that core models are consistently refined, leveraging aggregate signals to enhance performance. The conversation builds on previous insights about resilient machine learning, emphasizing adaptability and continuous improvement in model training.
