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Data Development
Data development encompasses the processes of curating, organizing, and preparing datasets for use in machine learning and AI projects. This includes data sourcing, cleaning, labeling, and augmenting, ensuring that the data used is high-quality and relevant. Data-centric approaches prioritize the value of data itself, often leading to more reliable and efficient model outcomes.
