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Manifest AI - Linear Transformers Are Faster After All

\[ \newcommand{\R}{\mathbb{R}} \newcommand{\Z}{\mathbb{Z}} \newcommand{\N}{\mathbb{N}} \newcommand{\sft}{\text{softmax}} \newcommand{\List}{\text{List}} \newcommand{\Seq}{\text{Seq}} \newcommand{\SeqT}{\text{SeqT}} \newcommand{\CSeqT}{\text{CSeqT}} \newcommand{\Dist}{\text{Dist}} \newcommand{\SM}{\text{SM}} \newcommand{\Fn}{\text{Fn}} \newcommand{\Tok}{\text{Tok}} \newcommand{\Aij}{ A_{[i,j]}} \] It is well-known that removing the exponential from the attention layer of a transformer allows for ...

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