US Patent 12124953 Interactive qualitative-quantitative live labeling for deep learning artificial intelligence

A live model of a deep learning algorithm may be used to generate predictions of features of interest in an instance of training data. If the predictions correspond to actual features of interest, the predictions may be converted to qualitative labels, the instance may be designated as being acceptably labeled, and the live model may be trained on all instances of training data designated as acceptably labeled to update the live model. If the predictions do not correspond, a repetitive process of applying qualitative labels to features of interest in the instance of training data, quantitatively training on the qualitatively labeled instance of training data and all instances of training data designated as acceptably labeled, and generating predictions of features of interest until the predictions correspond to the actual features of interest.