Advancements in XLSDM
XLSDM has emerged as a competitive alternative to MAMBA, showcasing its efficiency by eliminating the input gate while maintaining a similar architecture. The innovative chunk-wise approach to Flash Attention allows for faster training and inference, surpassing previous methods. This evolution hints at a growing industry adoption of XLSDM, highlighting its potential impact in the field.In this clip
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Machine Learning Street Talk (MLST)
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