Självövervakad
Självövervakad is a Swedish word that translates to "self-supervised" in English. It refers to a type of machine learning where a model learns from data that has not been explicitly labeled. Instead of relying on human annotators to provide the correct answers, self-supervised learning generates its own supervisory signals from the input data itself.
This approach is particularly useful in domains where obtaining large amounts of labeled data is expensive
Self-supervised learning has become a prominent area of research in artificial intelligence, leading to significant advancements