<ul><li>Data engineering pipelines are crucial components of predictive analytics frameworks and require significant time and expertise.</li><li>ADEPT is introduced as an automated data engineering pipeline using text embeddings, aiming to simplify the process.</li><li>ADEPT leverages text embeddings for representing diverse data sources and employs an information bottleneck criteria to handle entropy variance.</li><li>Experiments demonstrate that ADEPT surpasses existing benchmarks across various datasets, showing potential for efficient and scalable automation in data science.</li></ul>

Text embedding models can be great data engineers

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