MLOps Challenges

Mihail and Daniel discuss the engineering achievements of building software infrastructure for large-scale AI systems, highlighting the importance of MLOps in training and updating models efficiently. They emphasize that while advancements have been made, MLOps challenges still exist and require a team effort to overcome.