The content discusses the use of LLMs like Codellama, Deepseek Coder, and GPT models to generate tests for OpenACC compiler validation. It highlights the challenges in compiler interpretation and the need for accurate validation tests. Various prompt engineering techniques are explored to improve test generation quality.
Large language models (LLMs) are utilized to automatically generate tests for validating OpenACC compiler implementations. The content emphasizes the importance of accurate validation tests due to differing interpretations by compiler developers. Different prompt engineering techniques are employed to enhance the quality of test generation.
Key points include:
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by Christian Mu... om arxiv.org 03-12-2024
https://arxiv.org/pdf/2310.04963.pdfDiepere vragen