北航、人大和九坤投资共同撰写的论文 《Scaling Laws for Code: Every Programming Language Matters》 整理而成。 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。
The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The ...
AI and machine learning outside of Python Python might be the best, but it’s not your only choice for AI and machine learning. Here’s what you need to know about using Java, Rust, Go, or C#/.Net for ...
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What’s the best way to bring your AI agent ideas to life: a sleek, no-code platform or the raw power of a programming language? It’s a question that sparks debate among developers, entrepreneurs, and ...
In the swiftly evolving tech landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as two of the most ...
GameSpot may get a commission from retail offers. While you may be limited to which version of Minecraft you can play based on the device you're using, there are some important differences between ...
Java has been one of the more popular programming languages and computing platforms on the market since Sun Microsystems released it all the way back in 1995. The free-to-download platform has been ...
What exactly is Python and what is MicroPython? The major differences between both languages. Some use cases for each. As difficult as it is to imagine, the Python programming language made its ...
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