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2015 - 2017
2010 - 2015
Iñaki Lacunza
Google • 472 followers
I'm glad to be part of this amazing work, where we introduce 𝗠𝗿𝗕𝗘𝗥𝗧, a family of 150M–300M parameter encoders built on ModernBERT and pre-trained on 35 languages and code. Through targeted language and domain adaptation, we developed efficient Spanish and Catalan variants, as well as specialized biomedical and legal models via continued pre-training, achieving state-of-the-art performance while maintaining strong efficiency. We also integrate Matryoshka Representation Learning to enable flexible embedding sizes, helping balance quality, latency, and storage constraints in real-world retrieval systems. MrBERT shows that modern encoder architectures can still set the state of the art when carefully optimized for multilingual and domain-specific settings, while remaining practical for production deployment. 🤖 Models link: https://lnkd.in/ewggPJC6 📜 Paper link: https://lnkd.in/eGGAtqhb Huge thanks to Daniel Tamayo, Paula Rivera Hidalgo de Torralba and the other contributors for this amazing work!! 👏 👏
Adrian M.P. Brasoveanu
Modul University Vienna • 1K followers
Plot Twist: World Models are not the answer to AGI. Then we have to ask: where do we go from here?
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