Mathematical Notation for a Pre-trained Encoder
In the context of pre-trained models, an encoder is formally denoted as , where represents the set of the model's parameters. After the pre-training process is complete, the resulting set of optimal parameters is represented by .
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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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 .
Differentiating Encoder Notation in Model Development