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Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks
May 6, 2024, 4:42 a.m. | Konstantin Grotov, Sergey Titov, Yaroslav Zharov, Timofey Bryksin
cs.LG updates on arXiv.org arxiv.org
Abstract: Computational notebooks became indispensable tools for research-related development, offering unprecedented interactivity and flexibility in the development process. However, these benefits come at the cost of reproducibility and an increased potential for bugs. There are many tools for bug fixing; however, they are generally targeted at the classical linear code. With the rise of code-fluent Large Language Models, a new stream of smart bug-fixing tools has emerged. However, the applicability of those tools is still problematic …
abstract arxiv benefits bugs computational cost cs.lg cs.se development error flexibility however llm notebooks process reproducibility research resolution tools type
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