Machine Learning Intermediate
static
Something done once rather than continuously.
Plain English Explanation
Something done once rather than continuously. The terms static and offline are synonyms. The following are common uses of static and offline in machine learning: - static model (or offline model) is a model trained once and then used for a while. - static training (or offline training) is the process of training a static model. - static inference (or offline inference) is a process in which a model generates a batch of predictions at a time. Contrast with dynamic.
How is it used?
Practitioners refer to static when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.