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Ludwig is an open-source declarative deep learning framework that allows users to build, fine-tune, and deploy custom models across text, images, audio, and tabular data using a single YAML configuration file. It handles the full machine learning lifecycle—from preprocessing and training to hyperparameter optimization and production serving—without requiring users to write boilerplate infrastructure code.
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