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The import and export of data is the automated or semi-automated input and output of data sets between different software applications.It involves "translating" from the format used in one application into that used by another, where such translation is accomplished automatically via machine processes, such as transcoding, data transformation, and others.
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
An intelligent tutoring system (ITS) is a computer system that imitates human tutors and aims to provide immediate and customized instruction or feedback to learners, [1] usually without requiring intervention from a human teacher. [2]
Alexandru Costin, Adobe's vice president of generative AI, said the company is working to generate 4K video and will remain focused on quality rather than longer clips.
Knowledge distillation consists of training a smaller network, called the distilled model, on a data set called the transfer set (which is different than the data set used to train the large model) using cross-entropy as the loss function between the output of the distilled model (|) and the output of the large model ^ (|) on the same record ...
In documentation and instructional design, tutorials are teaching-level documents that help the learner progress in skill and confidence. [7] Tutorials can take the form of a screen recording (), a written document (either online or downloadable), interactive tutorial, or an audio file, where a person will give step by step instructions on how to do something.