Probabilistic Model for Text Classification using an Encoder-Classifier Architecture

A machine learning engineer has just completed the pre-training phase for a new language model on a massive text corpus. The process was successful, and the model's parameters have been optimized. Which mathematical expression correctly represents the function of this pre-trained encoder, ready to be used for downstream tasks?

A researcher is actively pre-training a new language model. At this stage, where the model's parameters are continuously being updated, the encoder's function is best represented as $Encode_θ̂(·)$.

Differentiating Encoder Notation in Model Development