onger sequences, such as summarizing long documents or conducting long conversations.

The authors propose a method to extend the context window size without having to retrain the model from scratch, which would be computationally expensive. The key idea is to rescale the position indices of the input tokens so that they fit within the original context window size. This is done by linearly downscaling the position indices, a process the authors refer to as "interpolation". 

The authors show that this metho