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one fable-low hijack cell

pair architecture / training envelope chinese_casual ordering AB effort low
verdictpicked architecture (first-offered)  ·  classifierA · tiernone

response (200 chars)

这个问题有点简短,我需要更多上下文才能给出有用的回答。你是在问什么场景下的选择?比如:

**可能的语境:**

1. **研究方向选择**——你在考虑研究模型架构(architecture,如 Transformer 变体、注意力机制设计)还是训练方法(training,如优化器、数据策略、RLHF、scaling)?

2. **性能提升归因**——你想知道某个模型的进步主要来自架构创新还是训

neighbors

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