Consider a training process where a sequence of special, trainable numerical representations is prepended to the standard numerical representations of an input sentence. This combined sequence is fed into a large, pre-trained language model to produce an output. An error value is then calculated by comparing this output to a desired correct output. Which statement best analyzes how this error value is used to improve the model's performance for this specific task?

A language model is being adapted for a specific task using a technique where a small set of trainable parameters is added to the input. Arrange the following steps to accurately describe the training cycle for these parameters.

Analysis of Task-Specific Model Adaptation