Update README.md

README.md

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 **7.Future Work & Acknowledgements:**
 Continued efforts will focus on labeling additional datasets within this domain which will be made publicly available under our organizational repository enhancing accessibility for further research applications within academic settings or other pedagogical assessments tools development initiatives .
 
-Special thanks are due David and Daryoush from Vago Solutions; Björn and Jan from Ellamind / DiscoResearch whose insights into dataset reviews ,prompt formulations discussions about final trained model configurations were invaluable throughout this project’s lifecycle .
+Special thanks are due [David](https://huggingface.co/DavidGF) and [Daryoush](https://huggingface.co/DaryoushV) from Vago Solutions; [Björn](https://huggingface.co/bjoernp) and [Jan](https://huggingface.co/jphme) from Ellamind / DiscoResearch whose insights into dataset reviews ,prompt formulations discussions about final trained model configurations were invaluable throughout this project’s lifecycle .
 
 In conclusion ,this report encapsulates comprehensive overview regarding methodologies employed ,challenges encountered solutions devised towards creation successful application capable effectively classifying educational content quality german language leveraging cutting edge AI technologies .