Update README.md

README.md

@@ -16,9 +16,11 @@ from geolip_core import svd_transformer
 # There is a large amount of problems with D and the focus of the Triton kernels is to allow for larger D with good performance on many types of hardwares, but the sweet spot for most use cases is still around 16 or 32 for pure encoding accuracy and decoding accuracy, and the default is set to 16 for this reason.
 
 former = svd_transformer(
-  x,                      # tensor
-  y=None,                 # tensor or None
-  z=None,                 # tensor or None
+  x,                      # primary learning tensor used for valid shape. Will be used for SVD.
+  y=None,                 # tensor or None; tensor masks, specifically meant to handle QKV or SUVt/SUV tokenizations.
+  z=None,                 # tensor or None; [patchworks, embeddings, encodings, encapsulants, structural invariants, etc]
+                          # There is a series of points that can be hooked or overridden for experimentation, they will all be fully transparent.
+                          # Z is used for experimentation tooling, the primary systems will not touch this by default.
   svd=None,               # the SVD sizes.
                           # None = x.shape batch omitted.
                           # [S, V, D]