Role of Specific Positional Embeddings in Long-Context Pre-training

Evaluating a Model Adaptation Strategy

A research team aims to adapt a powerful, existing language model to summarize entire books, a task requiring the model to process very long sequences of text. They have access to a vast, diverse dataset of general web text and a smaller, curated dataset composed exclusively of full-length books. To achieve their goal efficiently, what is the most effective two-stage approach for the team to follow?

A machine learning engineer is adapting a pre-existing language model to effectively handle long documents. The process involves two distinct stages. Arrange the following stages in the correct chronological order.