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。

This project is a port of the excel-formula library to ES6. It contains a set of functions that can be used to pretty print Excel formulas and convert them into JavaScript, C# or Python code.

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Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...