Hacker News with Generative AI: Attention Mechanisms

Laser: Attention with Exponential Transformation (arxiv.org)
Transformers have had tremendous impact for several sequence related tasks, largely due to their ability to retrieve from any part of the sequence via softmax based dot-product attention.
Differential Transformer (arxiv.org)
Transformer tends to overallocate attention to irrelevant context. In this work, we introduce Diff Transformer, which amplifies attention to the relevant context while canceling noise.
New attention mechanisms that outperform standard multi-head attention (arxiv.org)
Ring Attention Explained – Unlocking Near Infinite Context Window (coconut-mode.com)