This talk was given at YOW! Data 2021.
In this talk I walk through how and why machine learning algorithms fail when faced with extremely small sample sizes. Then I go through how a human would solve a similar linguistics problem with some reasoning. After that, I explored the biases in neural language models. Finally I provide some conclusions