MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

from Arxiv Papers · host Igor Melnyk

MLE-bench is a benchmark for evaluating AI agents in machine learning engineering, featuring 75 Kaggle competitions and establishing human baselines, with open-source code for future research. https://arxiv.org/abs//2410.07095 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

Episode metadata supplied by the publisher feed · Published Oct 13, 2024

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MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

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