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Nick Cammarata 稱現代神經網絡的可解釋程度遠高於普遍認知,萬億級參數模型中大多數神經元均可理解

A researcher says modern neural networks are far more interpretable than believed, with most neurons understandable in models up to trillions of parameters (Nick Cammarata/Goodfire)

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研究員 Nick Cammarata 指出,現代神經網絡的可解釋程度遠高於普遍認知。他稱,在參數規模達萬億級的模型中,大多數神經元都可以理解。

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