will be zero and ADA will be one over K so 1 over K is 1 over the number of classes which is just the random chance of predicting a sample and then at the end ADA will be 1 and so coming back to this equation if ADA is 1 that means every single sample practically will be will be carry forward towards the the loss function and and at the beginning when it's 1 over K only the predictions that only the samples that the model is very unconfident on will actually be used in the loss function and so so the idea here the intuition is that if you