[R] Blockwise Parallel Transformer for Long Context Large Models

[https://arxiv.org/pdf/2305.19370.pdf](https://arxiv.org/pdf/2305.19370.pdf)

It's honest Transformer and honest attention. No cheating.

>**We use the same model architecture as the original Transformer, but with a different way of organizing the compute.**

From conclusion:

>Our approach enables processing longer input sequences while maintaining or improving performance. Through extensive experiments, we demonstrate its effectiveness, achieving **up to 4x memory reduction than memory-efficient Transformers**. Our contributions include a practical method for long context lengths in large Transformer models.

Abstract:

>Transformers have emerged as the cornerstone of …

architecture attention cheating compute machinelearning memory performance processing through transformer transformers