However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input. For this, you also need non-linear thresholding functions that adjust the ...
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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 combined with weights in neural networks to provide likely best answers to queries.
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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 gainsMost of the gains come from the removal of matrix multiplication (MatMul) from the LLM training and inference processes. How was MatMul removed from a neural network while maintaining the same ...
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