Low-resource language AI
Published
Low-resource language AI concerns languages with little training and evaluation data, which most models therefore handle poorly. Because the data is scarce, human feedback from native speakers matters: their judgments of which answer is better add the signal that public datasets lack. Tendril gathers that feedback so AI can serve more of the world's languages.
Learn more: languages we help AI understand.