Confidence and Loss Functions

Sibylle and Kyle discuss the challenges of calibrating probabilities in class assignments and the need for new methods to define loss functions that reflect confidence and clusters. They also explore the benefits of using Weights and Biases, an ML platform that enhances productivity and collaboration in model training.