Update README.md

README.md

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 NuZero - is the family of Zero-Shot Entity Recognition models inspired by [GLiNER](https://huggingface.co/papers/2311.08526) and built with insights we gathered throughout our work on [NuNER](https://huggingface.co/collections/numind/nuner-token-classification-and-ner-backbones-65e1f6e14639e2a465af823b).
 
-The key difference between NuZero Token in comparison to GLiNER is the possibility to **detect entities that are longer than 12 tokens**, as NuZero Token operates on the token level rather than on the span level. Also, the NuZero token is **1% more intelligent** on average.
+The key difference between NuZero Token in comparison to GLiNER is the possibility to **detect entities that are longer than 12 tokens**, as NuZero Token operates on the token level rather than on the span level. Also, NuZero token is trained on the diverse internal dataset tailored for real-life use cases.
 
 <p align="center">
 <img src="zero_shot_performance_unzero_token.png">