How do you prove your new, specialized AI model is a better solution? You test it against the best.
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How do you prove your new, specialized AI model is a better solution? You test it against the best.
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That's why we were excited to see the new AdminBERT paper from researchers at Nantes Université and others. To show the strength of their new model for French administrative texts, they compared it to the state-of-the-art generalist model, NERmemBERT.
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That's why we were excited to see the new AdminBERT paper from researchers at Nantes Université and others. To show the strength of their new model for French administrative texts, they compared it to the state-of-the-art generalist model, NERmemBERT.
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The direct connection to our work is clear: NERmemBERT was trained on a combination of datasets, including the Pii-masking-200k dataset by Ai4Privacy.
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The direct connection to our work is clear: NERmemBERT was trained on a combination of datasets, including the Pii-masking-200k dataset by Ai4Privacy.
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This is a perfect win-win for the open-source community. Our foundational dataset helps create a strong, general-purpose benchmark, which in turn helps researchers prove the value of their specialized work. This is how we all get better.
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This is a perfect win-win for the open-source community. Our foundational dataset helps create a strong, general-purpose benchmark, which in turn helps researchers prove the value of their specialized work. This is how we all get better.
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🔗 Great work by Thomas Sebbag, Solen Quiniou, Nicolas Stucky, and Emmanuel Morin on tackling a challenging domain! Check out their paper: 
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🔗 Great work by Thomas Sebbag, Solen Quiniou, Nicolas Stucky, and Emmanuel Morin on tackling a challenging domain! Check out their paper: 
https://aclanthology.org/2025.coling-main.27.pdf
https://aclanthology.org/2025.coling-main.27.pdf
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🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: 
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🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: 
https://www.linkedin.com/company/ai4privacy/posts/
https://www.linkedin.com/company/ai4privacy/posts/
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#OpenSource 
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#OpenSource 
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#DataPrivacy 
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#DataPrivacy 
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#LLM 
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#LLM 
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#Anonymization 
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#Anonymization 
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#AIsecurity 
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#AIsecurity 
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#HuggingFace 
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#HuggingFace 
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#Ai4Privacy 
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#Ai4Privacy 
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#Worldslargestopensourceprivacymaskingdataset
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#Worldslargestopensourceprivacymaskingdataset
How do you prove your new, specialized AI model is a better solution? You test it against the best.

That's why we were excited to see the new AdminBERT paper from researchers at Nantes Université and others. To show the strength of their new model for French administrative texts, they compared it to the state-of-the-art generalist model, NERmemBERT.

The direct connection to our work is clear: NERmemBERT was trained on a combination of datasets, including the Pii-masking-200k dataset by Ai4Privacy.

This is a perfect win-win for the open-source community. Our foundational dataset helps create a strong, general-purpose benchmark, which in turn helps researchers prove the value of their specialized work. This is how we all get better.

🔗 Great work by Thomas Sebbag, Solen Quiniou, Nicolas Stucky, and Emmanuel Morin on tackling a challenging domain! Check out their paper: https://aclanthology.org/2025.coling-main.27.pdf

🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: https://www.linkedin.com/company/ai4privacy/posts/

#OpenSource 
#DataPrivacy 
#LLM 
#Anonymization 
#AIsecurity 
#HuggingFace 
#Ai4Privacy 
#Worldslargestopensourceprivacymaskingdataset
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unmodeled-tyler John6666 MikeDoes
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FM-1976 MikeDoes