AI researchers run AI chatbots at a lightbulb-esque 13 watts with no performance loss — stripping matrix multiplication from LLMs yields massive gains
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Elimination of matrix multiplication from LLM processing can massively increase performance-per-watt with the correct optimizations, researchers from UC Santa Cruz demonstrate. It remains to be seen how applicable this approach is for AI in general.