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cognoboffin

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Comment #48753271
SVD is the decomposition of a matrix into two rotation matrices and a scaling matrix, by definition: https://en.wikipedia.org/wiki/Singular_value_decomposition

Wed, Jul 01, 2026, 9:19 PM UTC
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Comment #48752433
SVD, and PCA are also examples.

Wed, Jul 01, 2026, 8:07 PM UTC
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Comment #48752141
Doesn’t RoPE use 2D rotation matrices ?

Wed, Jul 01, 2026, 7:45 PM UTC
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Comment #48353537
Mon, Jun 01, 2026, 7:10 AM UTC