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README.md
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@@ -25,9 +25,15 @@ skipping huge amounts of early pretraining using organized spectral attuned SVD
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There will be multiple capable patchworks, multiple capable potentials, and multiple capable substructure options
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each with their own benefits, own negatives, and own convergence speeds.
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The goal here, is to synthetic shape expand the structural invariance of systems like this, to introduce
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prefabricated utility-driven patchworks using SVD as a catalyst.
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# geolip-svd-transformer API
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There will be multiple capable patchworks, multiple capable potentials, and multiple capable substructure options
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each with their own benefits, own negatives, and own convergence speeds.
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The current goal here, is to synthetic shape expand the structural invariance of systems like this, to introduce
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prefabricated utility-driven patchworks using SVD as a catalyst.
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The ultimate goal is to allow the system to learn independently and usefully from standard encoding techniques, as the SVD
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provides enough information. The information is just highly difficult to extract and use usefully without a specific
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architectural behavior involved.
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I'm working out every element.
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# geolip-svd-transformer API
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