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[QA] Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
This paper presents an AI agent for error resolution in computational notebooks, enhancing bug-fixing capabilities while evaluating user experience and collaboration within the JetBrains Datalore service.
https://arxiv.org/abs//2410.14393
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
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By Igor Melnyk
5
33 ratings
This paper presents an AI agent for error resolution in computational notebooks, enhancing bug-fixing capabilities while evaluating user experience and collaboration within the JetBrains Datalore service.
https://arxiv.org/abs//2410.14393
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
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