09版 - 见解

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That's when curiosity struck.

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Москвичам

Smaller models seem to be more complex. The encoding, reasoning, and decoding functions are more entangled, spread across the entire stack. I never found a single area of duplication that generalised across tasks, although clearly it was possible to boost one ‘talent’ at the expense of another. But as models get larger, the functional anatomy becomes more separated. The bigger models have more ‘space’ to develop generalised ‘thinking’ circuits, which may be why my method worked so dramatically on a 72B model. There’s a critical mass of parameters below which the ‘reasoning cortex’ hasn’t fully differentiated from the rest of the brain.,详情可参考新收录的资料

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为“卖酒”转型再输血

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关于作者

杨勇,资深编辑,曾在多家知名媒体任职,擅长将复杂话题通俗化表达。