Can Language Models Replace Programmers? Researchers from Princeton and the University of Chicago Introduce SWE-bench: An Evaluation Framework that Tests Machine Learning Models on Solving Real Issues from GitHub

Evaluating the proficiency of language models in addressing real-world software engineering challenges is essential for their progress. Enter SWE-bench, an innovative evaluation framework that employs Python repositories’ GitHub issues and pull requests to gauge these models’ ability to tackle coding tasks and problem-solving. Surprisingly, the findings reveal that even the most advanced models can only […]

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