Update README.md

README.md

@@ -102,7 +102,7 @@ In general, the way to think about these (non-orthogonal) "multiplicative-LoRAs"
 
 So instead of having just a single vector that we add (and in essence adding a bias weight to create an [affine transformation](https://en.wikipedia.org/wiki/Affine_transformation)), we now have many different control vectors that can be added (stored in `lora_B`), based on how well they match another set of "directional detection vectors" (stored in `lora_A`).
 
-**NOTE**: The [LoRA+](https://arxiv.org/abs/2402.12354) paper uses a similar way of viewing the purpose of `lora_A` and `lora_B`, but where `lora_A` looks at the ***input*** to the `down_proj` transformation (for "additive-LoRAs"); instead of the ***output*** of the `down_proj` transformation like these new (non-orthogonal) "multiplicative-LoRAs"...
+**NOTE**: The [LoRA+](https://arxiv.org/abs/2402.12354) paper uses a similar way of viewing the purpose of `lora_A` and `lora_B`, but where `lora_A` looks at the ***input*** to the transformation (for "additive-LoRAs"); instead of the ***output*** of the (`down_proj`) transformation like these new (non-orthogonal) "multiplicative-LoRAs"...
 
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