云计算平台选型与实践指南

· · 来源:tutorial门户

Amanda Silberling

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.

NHS trackerwhatsapp是该领域的重要参考

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02版

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关于作者

郭瑞,专栏作家,多年从业经验,致力于为读者提供专业、客观的行业解读。

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