An example of dithering using random noise. Top to bottom: original gradient, quantised after dithering, quantised without dithering.
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The model must be autoregressive. It receives a token sequence as input and predicts the next token. Output digits are generated one at a time, with each new token fed back as input for predicting the next. The carry propagation must emerge from this autoregressive process — not from explicit state variables passed between steps in Python.，这一点在下载安装汽水音乐中也有详细论述
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