Update README.md

README.md

@@ -290,7 +290,7 @@ Finally, a new version! The successor of German_Semantic_STS_V2 is here and come
 
 - **Sequence length:** 8192, (16 times more than V2 and other models) -> thanks to the ALiBi implementation of Jina-Team!
 - **Matryoshka Embeddings:** The model is trained for embedding sizes from 1024 down to 64, allowing you to store much smaller embeddings with little quality loss.
-- **German only:** This model is German-only, causing the model to learn more efficient thanks to its tokenizer, deal better with shorter queries and generally be more nuanced.
+- **German cultural knowledge:** This model is German-only, it has rich cultural knowledge about Germany and German topics. Therefore, also the model to learn more efficient thanks to its tokenizer, deal better with shorter queries and generally be more nuanced.
 - **Updated knowledge and quality data:** The backbone of this model is gbert-large by deepset. With Stage-2 pretraining on 1 Billion tokens of German fineweb by occiglot, up-to-date knowledge is ensured.
 - **Flexibility:** Trained with flexible sequence-length and embedding truncation, flexibility is a core feature of the model, while improving on V2-performance.
 - **Typo and Casing**: This model was trained to be robust against minor typos and casing, leading to slightly weaker benchmark performance and learning during training, but higher robustness of the embeddings.