Comparing Large Language Models and Human Programmers for Generating Programming Code

The performance of seven large language models (LLMs) in generating programming code using various prompt strategies, programming languages, and task difficulties is systematically evaluated. GPT‐4 substantially outperforms other LLMs, including Gemini Ultra and Claude 2. The coding performance of G...

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Veröffentlicht in:	Advanced science Jg. 12; H. 8; S. e2412279 - n/a
Hauptverfasser:	Hou, Wenpin, Ji, Zhicheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany John Wiley & Sons, Inc 01.02.2025 John Wiley and Sons Inc Wiley
Schlagworte:	artificial intelligence Computer programming Datasets Design Feedback Humans human‐computer interaction Large Language Models Performance evaluation Programming Languages Python Software Software development large language models human‐computer interaction computer programming artificial intelligence
ISSN:	2198-3844, 2198-3844
Online-Zugang:	Volltext
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