MLE-bench is an offline Kaggle competition environment for AI agents. Each competition has an associated description, dataset, and grading code. Submissions are graded locally and compared against real-world human attempts via the competition’s leaderboard. A team of AI researchers at Open AI, has developed a tool for use by AI developers to measure AI machine-learning engineering capabilities. The team has written a paper describing their benchmark tool, which it has named MLE-bench, and posted it on the arXiv preprint server. The team has also posted a web page on the company site introducing the new tool, which is open-source. As computer-based machine learning and associated artificial applications have flourished over the past few years, new types of applications have been tested. One such application is machine-learning engineering, where AI […]
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