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1. api+15[view] [source] 2023-10-24 14:05:54
>>qwerty+(OP)
I'm excited to see attention layers animated like this. I feel like I'm this close to grasping them.
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2. Greenp+K9[view] [source] 2023-10-24 14:28:25
>>api+15
I still haven't found "that one visualisation" that makes the attention concept in Transformers as easily understood as these CNNs.

If someone here on HN has a link to a page that has helped them get to the Eureka-point of fully grasping attention layers, feel free to share!

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3. julian+Sg[view] [source] 2023-10-24 14:57:10
>>Greenp+K9
I found this video helpful for understanding transformers in general, but it covers attention too: https://www.youtube.com/watch?v=kWLed8o5M2Y

The short version (as I understand it) is that you use a neural network to weight pairs of inputs by their importance to each other. That lets you get rid of unimportant information while keeping what actually is important.

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