Update README.md

README.md

@@ -13,6 +13,8 @@ pipeline_tag: any-to-any
 
 Multi-modal Variational Autoencoder for text embedding transformation using geometric fusion.
 
+This first version is essentialy clip_l + t5-base. Similar to those shunt prototypes in concept but entirely divergent in this implementation. This variation is formatted and trained specifically as a VAE to encode/decode pairs of encodings together.
+
 The current implementation is trained with only a handful of token sequences, so it's essentially front-loaded. Expect short sequences to work.
 Full-sequence pretraining will begin soon with a uniform vocabulary that takes both tokens in for a representative uniform token based on the position.