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Update sampler_explaination.md

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2025-05-09 23:14:46 +02:00
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@@ -22,7 +22,7 @@ The input tensor is normalized by dividing it by its norm:
tn = t.div(norm) tn = t.div(norm)
This step projects the tensors onto a unit hypersphere. This step projects the tensors onto a unit hypersphere. (Note from me: that's a super fancy way to say I divide by the radius, juste to ensure a similar scale, also usable by the slerp afterwards)
Next, the function calculates a distance metric between all pairs of normalized tensors: Next, the function calculates a distance metric between all pairs of normalized tensors: