Topic: token length

A new method called Recursive Sparse Attention allows for efficient processing of up to one million tokens, significantly reducing computational costs compared to dense attention techniques, thus enabling better handling of longer documents in machine learning models. This breakthrough is crucial as it addresses the scarcity of long training data and improves the scalability of language models.

arxiv.org↗