在代码大模型(Code LLMs)的预训练中,行业内长期存在一种惯性思维,即把所有编程语言的代码都视为同质化的文本数据,主要关注数据总量的堆叠。然而,现代软件开发本质上是多语言混合的,不同语言的语法特性、语料规模和应用场景差异巨大。如果忽略这些差异,笼统地应用通用的 Scaling Laws,往往会导致性能预测偏差和算力浪费。
十轮网科技资讯 on MSN
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