Sagi Ezri
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Sagi Ezri
It is possible that as the training loss declines, the model becomes more confident in its predictions, which can lead to an increase in the entropy of the output distribution....
Yes, you can set a threshold for cosine similarity to classify samples as positive or negative. The threshold serves as a decision boundary that separates similar samples from dissimilar ones....