Update README.md

README.md

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 ## FAQ
 
 **Q: Is this Model better than V2?**
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 **A:** In terms of flexibility-definitely. In terms of data-yes as well, as it is more up-to-date. In terms of benchmark they differ, while V3 is better for longer texts, V2 works very well for shorter texts.
 
 **Q: How does the model perform vs. multilingual models?**
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 **A:** There are really great multilingual models that will be very useful for many use-cases. This model shines with its cultural knowledge.
 
 **Q: What is the trade-off when reducing the embedding size?**
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 **A:** Broadly speaking, when going from 1024 to 512 dimensions, there is very little trade-off (1 percent). When going down to 64 dimensions, you may face a decrease of up to 3 percent.
 
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