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In typically the realm of man-made intelligence, a groundbreaking algorithm or a powerful server is definitely only as successful as the information it is trained on. The process that changes raw, unstructured files in to a high-quality, set up format is known as data brands. This is some sort of fundamental and frequently labor-intensive step where human annotators add detailed tags to several varieties of data, creating the "ground truth" of which supervised machine studying models use to learn. This write-up
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