SWE-Bench is a benchmark for evaluating large language models on real-world software engineering tasks. Researchers use it to test an AI's ability to fix bugs, implement features, and resolve GitHub issues. Developers and AI teams benefit by measuring model performance in practical coding scenarios, driving progress toward more capable coding assistants.
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