Abstract: A method of learning a task model and a language model according to an embodiment of the present application includes: acquiring log data for each user for a content set consumed by a plurality of users and content included in the content set; acquiring text embedding for the content included in the content set through a pretrained language model (PLM); acquiring an output value related to a task from the text embedding and the log data through a task model; updating a weight of the task model based on the output value and a target value of the task; and acquiring back-propagation information for training the language model from the task model, and training the language model based on the back-propagation information.

Abstract: Provided is a method of training a neural network model for calculating an uncertainty index, the method including: obtaining a reference answering data set of a plurality of reference users, calculating expected score information of the reference user from the reference answering data set; obtaining actual score information of the reference user; obtaining a training set on the basis of the reference answering data set, the expected score information, and the actual score information, the training set including label information that is defined as a difference between the expected score information and the actual score information; and training a first neural network model for calculating an uncertainty index related to accuracy of the expected score information of the reference user from the reference answering data set using the training set.

Abstract: The present disclosure relates to a method of recommending a diagnostic test question for user evaluation by an electronic device, including: generating a first matrix indicating whether users answer all questions correctly; generating a second matrix based on the first matrix using knowledge tracing (KT); and selecting the diagnostic test question using Lasso regression based on the second matrix.

Abstract: A pedestal of a CVD apparatus includes a raised central portion, a peripheral portion extending around the central portion, and a carrier ring support disposed along the peripheral portion. A carrier ring of the CVD apparatus includes an annular body disposed over the peripheral portion of the pedestal. The carrier ring is mounted to the pedestal by virtue of the carrier ring support, and in such a way that a lower surface of the annular body is spaced vertically from the peripheral portion of the pedestal and the carrier ring is separable from the pedestal in a vertical direction. A drive mechanism cooperates with carrier ring to lift the carrier ring of the pedestal and mount the carrier ring back onto the pedestal.