I could be wrong. If you give it bad data then it could still overfit. https://datacadamia.com/data_mining/overfitting https://datacadamia.com/data_mining/over

I could be wrong. If you give it bad data then it could still overfit. https://datacadamia.com/data_mining/overfitting https://datacadamia.com/data_mining/overfitting But if all your data is good There’s no training step per se. And it just keeps improving with more data.