Computer Vision, Artificial Intelligence, Machine Learning, Data Science, Year In Review.
applications is self-supervised learning, wherein the model is trained on signals generated from the input data itself, rather than pre-specified annotations. In LLM pretraining, for instance, the model can be trained to predict which token comes next in a text sequence. Self-supervised approaches