Contextual Comparisons in Model Trains

The core weights and biases tool tracks all this stuff for you, and it shows it to you in graphs. And we think that when you capture like everything passively and you don't put a burden on the person training, you get a lot more useful information because usually you want this information after the fact. So fundamentally, what TensorBoard does is it tracks all of these things for you,. But then why you might really want this is six months from now, you've deployed this model into a car. Now you really want to know, okay, what was that model trained on? Like what was happening in the training that made you think you could deploy it? You know, where could