Provided is a method, performed by an electronic device, of updating a pre-trained artificial intelligence (AI) model may include obtaining a sum, of at least two first factor values to which at least two second factor values are respectively applied, as a quantized value of a first weight value from among a plurality of weight values included in the pre-trained AI model; obtaining training data for updating the pre-trained AI model; updating the pre-trained AI model based on the the training data.
ELECTRONIC DEVICE FOR UPDATING ARTIFICIAL INTELLIGENCE MODEL AND OPERATING METHOD THEREOF