The answer
You can plot attention heatmaps to see exactly which words the model focused on when generating a specific answer.
You can plot attention heatmaps to see exactly which words the model focused on when generating a specific answer.
An attention calculation that divides scores by the square root of the vector dimension to prevent gradients from exploding.
Global attention looks at all words in the input, while local attention only looks at a sliding window of neighboring words.
Because it relates positions of a single sequence to calculate a representation of the same sequence.
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