Update README.md

README.md

@@ -116,7 +116,7 @@ The resulting 2B model was then distilled from the fine-tuned [Nemotron-3-Embed-
 
 **Output Parameters:** One-Dimensional (1D) embedding vector per input text string <br>
 
-**Other Properties Related to Output:** The model outputs a 2048-dimensional embedding vector for each input text string. <br>
+**Other Properties Related to Output:** The model outputs a 2048-dimensional embedding vector for each input text string. It also supports dynamic embedding sizes by slicing the vector from the start (for example, keeping the first 1024 or 512 dimensions). These sliced embeddings remain highly functional, provided the resulting sub-vector is re-normalized (L2 normalization) after slicing. <br>
 
 Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br>