Model Trade-offs Explained

Greg discusses the critical trade-offs faced when deploying ML models, particularly the balance between quality and speed. He emphasizes the importance of understanding business risks associated with model inaccuracies and the need for robust processes to address errors. Additionally, he highlights the significance of monitoring for feature drift to ensure models remain effective over time.