Semi-supervised Finding out, which combines supervised and unsupervised Studying by utilizing both labeled and unlabeled information to train AI types for classification and regression tasks.(RAG), a method for extending the inspiration model to utilize applicable resources beyond the teaching knowledge to refine the parameters for larger precision
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