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β’ XAttention β 13.5Γ speedup on long sequences via "looking" at the sum of values along diagonal lines in the attention matrix.
β’ Kolmogorov-Arnold Attention, KArAt β Adaptable attention with learnable activation functions using KANs instead of softmax.
β’ Multi-token attention (MTA) β Lets the model consider groups of nearby words together for smarter long-context handling.
Read the overview of them in our free article on https://huggingface.co/blog/Kseniase/attentions
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