OpenAI has unveiled the SWE-Bench Verified artificial intelligence testing suite, which is an extension of the popular SWE-Bench programming test suite. This new suite addresses the quality issues of the original dataset by tackling GitHub Issue-based problems for AI.
SWE-Bench focuses solely on software questions and testing, where AI must solve problems rather than just run tests. It’s akin to a real-world programming exam, where completeness of data in the problems, confusing questions, and faulty testing sets pose challenges for AI programmers.
To improve the testing suite, OpenAI hired 93 professional programmers to review 500 questions from SWE-Bench and created the SWE-Bench Verified testing suite. This new suite has undergone rigorous quality checks, addressing problem-solving capabilities and categorizing difficulty levels. The examination revealed that software specifications were incomplete in 38.3% and testing sets marked 61.1% of the software as having bugs, even if they functioned correctly.
Further testing with GPT-4o using SWE-Bench Verified demonstrated an increase in problems fixed from 16% to 33.2%. This indicates that GPT-4o surpasses previous beliefs in terms of problem-solving abilities. However, most fixed issues were relatively simple and could be resolved in under 15 minutes, with those taking over an hour significantly fewer. Presently, the Amazon Q Developer Agent achieved the top score of 38.8% in overall performance measurements.
OpenAI suggests that the AI industry should invest more in evaluating the efficiency of artificial intelligence performance.
(Source: OpenAI)
TLDR: OpenAI introduces the SWE-Bench Verified AI testing suite, enhancing problem-solving abilities and advocating for increased investment in AI performance evaluation.
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