förutbildade
Förutbildade is a Swedish term that translates to "pre-trained" in English. It is most commonly used in the context of artificial intelligence and machine learning. When a machine learning model is described as förutbildade, it means that it has already undergone an initial training phase on a large dataset. This pre-training allows the model to learn general features and patterns from the data, which can then be leveraged for specific downstream tasks.
The process of pre-training often involves training a model on a massive, general-purpose dataset, such as a
The primary advantage of using a förutbildade model is that it significantly reduces the amount of data