A machine learning team is tasked with building a model for a specialized legal document classification task. To expedite development, they first train a sequence model on a large, general-purpose labeled dataset for sentiment analysis. Afterwards, they replace the final layer of the model and continue training it on their smaller, labeled set of legal documents. Which statement best analyzes the primary methodological advantage of this two-stage approach?

Methodological Simplicity of a Training Approach

A key advantage of a two-stage training process, where a model is first trained on a labeled dataset for one task and then adapted for a second task, is that it introduces a more complex, multi-paradigm workflow which enhances model robustness.