Testing Machine Learning

Alex discusses the challenge of testing machine learning models when they surpass human understanding. Sanyam emphasizes the importance of versioning and controlling data sets for accurate testing. Tim delves into the complexities of testing models for out-of-domain generalization and adversarial robustness, highlighting the limitations faced in the high-dimensional space of machine learning.