Automl Insights

Zak and Tim discuss the gap between the concept of Automl and its practical applications, emphasizing the importance of robustness in business settings over chasing marginal accuracy gains. They highlight concerns about the arbitrary nature of some Automl processes and the need for reliable, adaptable solutions in the face of evolving data challenges.