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Software engineers develop a way to run AI language models without matrix multiplicationPart of the process of running LLMs involves performing matrix multiplication (MatMul), where ... data is weighted—they replaced the current method that relies on 16-bit floating points with ...
If \(A\) is a \(3\times 3\) matrix then we can apply a linear transformation to each rgb vector via matrix multiplication ... and return a new image. This is the method we will use below. For quick ...
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AI researchers run AI chatbots at a lightbulb-esque 13 watts with no performance loss — stripping matrix multiplication from LLMs yields massive gainsThe researchers combined two methods. First ... though Microsoft did not go as far as removing matrix multiplication or open-sourcing their model like the UC Santa Cruz researchers did.
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