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JetTrain: IDE-Native Machine Learning Experiments

16 February 2024
Artem Trofimov
Mikhail Kostyukov
Sergei Ugdyzhekov
Natalia Ponomareva
Igor Naumov
Maksim Melekhovets
    VLM
ArXiv (abs)PDFHTML
Abstract

Integrated development environments (IDEs) are prevalent code-writing and debugging tools. However, they have yet to be widely adopted for launching machine learning (ML) experiments. This work aims to fill this gap by introducing JetTrain, an IDE-integrated tool that delegates specific tasks from an IDE to remote computational resources. A user can write and debug code locally and then seamlessly run it remotely using on-demand hardware. We argue that this approach can lower the entry barrier for ML training problems and increase experiment throughput.

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