Update README.md

README.md

@@ -278,7 +278,7 @@ Model Type:
 Intended Users:                                                                                        |  Generative AI developers for image and video generation models
 Output:                                                                                                |  Images/Videos and Latent Tokens 
 Describe how the model works:                                                                          |  Compresses and decompresses visual input (image/video).
-Technical Limitations:                                                                                 |  Some visual information (such as small text) may not be reconstructed accurately by the model.  
+Technical Limitations:                                                                                 |  Due to tokenizer compression limitations, some visual information (such as small text and other structured fine details) may not be reconstructed accurately.
 Verified to have met prescribed NVIDIA quality standards:  |  Yes
 Performance Metrics:                                                                                   |  Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), Reconstruction Fréchet Video Distance (rFVD), Reconstruction Fréchet Inception Distance (rFID), Latency
 Potential Known Risks:                                                                                 |  Tokenizer's output can parse all forms of input, including what may be considered toxic, offensive, or indecent.