Consider a large, pre-trained language model being adapted for a specific task. During this adaptation process, a small sequence of new, trainable vectors is prepended to the input of each transformer layer. The original weights of the pre-trained model are not modified. The training objective is to minimize a task-specific loss by only updating the parameters of these newly introduced vector sequences. Which statement best analyzes how this adaptation method functions?

Information Flow in a Multi-Layer Tuning Process