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one fable-low hijack cell

pair data / model envelope zh_huo_q ordering AB effort low

Chinese '或' with explicit question marker — '{X}或{Y}？'

response (200 chars)

您的问题有点简短，我想确认一下您具体想问什么。几种可能的理解：

1. **机器学习中"模型 vs 数据哪个更重要"？**
   - 数据质量和数量往往是上限，模型决定能多接近这个上限
   - 业界常说 "Garbage in, garbage out"——数据差，再好的模型也没用
   - 但大模型时代也证明了模型规模/架构同样关键

2. **分布式训练：模型并行（model paralle

neighbors

ordering BA envelope code_caret (AB)envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope en_arrow (AB)envelope en_bare_or (AB)envelope en_bare_or_q (AB)envelope en_pipe (AB)envelope en_vs_q (AB)anchor view all 60 cells across efforts × anchors