Scaled Dot Product Attention | Why do we scale Self Attention?

Scaling Self Attention in Scaled Dot Product Attention is crucial for stabilizing training, optimizing dataset utilization, and improving the model's ability to focus on relevant information within sequences by standardizing the variance of dot products.

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⌚Time Stamps⌚

00:00 - Intro
00:45 - Revision
05:00 - The Why
07:25 - The What
42:32 - Summarizing the concept
49:49 - Outro