AI model software engineering capability assessment tool
SWE-bench Verified is a manually verified subset of SWE-bench released by OpenAI, designed to more reliably evaluate the ability of AI models to solve real-world software problems. By providing a code base and a description of the problem, it challenges the AI to generate a patch that solves the described problem. This tool was developed to improve the accuracy of assessments of a model's ability to autonomously complete software engineering tasks and is a key component of the medium risk level in the OpenAI Readiness Framework.
SWE-bench Verified is mainly aimed at AI researchers and software developers, who need to evaluate and understand the performance and capabilities of large language models in software engineering tasks. Through this tool, users can more accurately measure the programming capabilities and problem-solving skills of AI models, thereby optimizing and improving the performance of the models.
Researchers use SWE-bench Verified to test and compare the performance of different AI models in solving programming problems.
Educational institutions use this tool as a teaching aid to help students understand the application of AI in the field of programming.
Software development teams use SWE-bench Verified to evaluate and select the best AI programming assistant for their projects.
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