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Home   >   Kern AI

The goal of Kern AI, which bases its methodology on data, is to improve the capabilities of natural language processing (NLP). This suggests that Kern AI thinks it’s important to use a variety of large and varied datasets to produce more precise, sophisticated, and nuanced NLP results. To enhance the effectiveness and outcomes of their NLP applications, they should prioritise the quality and quantity of data, as suggested by the emphasis on a data-centric approach.

User objects:

  • Data scientists
  • NLP researchers
  • Machine learning engineers
  • Developers working on NLP applications
  • Businesses seeking NLP solutions
  • Content analysts and strategists

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Francesco Chiaramonte

Francesco Chiaramonte is renowned for over 10 years of experience, from machine learning to AI entrepreneurship. He shares knowledge and is committed to advancing artificial intelligence, hoping that AI will drive societal progress.