At Neuralk-AI, we develop our own AI embedding models specialized for structured data representation, allowing enterprises to build custom AI solutions that accurately interact with their own structured data. Our models leverage Graph Neural Networks (GNNs)-based models to deliver exceptional performance in representation and transfer learning tasks on structured datasets, giving these models a great potential for data cleaning and enrichment solutions." title="" class="btn" data-container="body" data-html="true" data-id="256072" data-placement="top" data-toggle="popover" data-trigger="focus" style="color:#0077b5" tabindex="0" data-original-title="Neuralk AI"> 1,658
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5 Parv. Alan Turing, 75013 Paris, France
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2 months agoAI embedding models for structured data representation to boost AI solutions accuracy
At Neuralk-AI, we develop our own AI embedding models specialized for structured data representation, allowing enterprises to build custom AI solutions that accurately interact with their own structured data.
Our models leverage Graph Neural Networks (GNNs)-based models to deliver exceptional performance in representation and transfer learning tasks on structured datasets, giving these models a great potential for data cleaning and enrichment solutions.
Machine Learning, Deep Learning, Software Development, SaaS, and Artificial Intelligence
AI embedding models for structured data representation to boost AI solutions accuracy
At Neuralk-AI, we develop our own AI embedding models specialized for structured data representation, allowing enterprises to build custom AI solutions that accurately interact with their own structured data.
Our models leverage Graph Neural Networks (GNNs)-based models to deliver exceptional performance in representation and transfer learning tasks on structured datasets, giving these models a great potential for data cleaning and enrichment solutions.
The first AI embedding models specialized for structured data representation.
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