Beyond Softmax: The Future of Attention Mechanisms

Linear attention and its variants have emerged as promising techniques for sequential modeling. Compared to standard softmax attention in Transformers, these models achieve faster decoding and a constant memory requirement regardless of the sequence length. Such methods may hold the key to unlocking long-context processing capability. In this video, let's explore what comes after softmax attention. 00:00 Introduction 00:13 Softmax attention - Review 02:23 Softmax attention - Matrix form 03:29 KV caching 05:29 Linear attention 10:15 Chunkwise parallel training 14:41 Gating in linear attention…