When you're trying to get the best performance out of Python, most developers immediately jump to complex algorithmic fixes, using C extensions, or obsessively running profiling tools. However, one of ...
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Abstract: This paper presents a comprehensive comparative analysis of three distinct prompt engineering strategies—Zero-Shot, Few-Shot, and Chain-of-Thought—for Python code debugging applications ...
Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...