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Trends in data labeling
Practical AI: Machine Learning, Data Science, LLM
Data Labelling - What Are Some of the Shifts?
Companies are realizing that a labelling is actually a way of making your raw data set into what i call a liquid asset. I think previously it was kind of, hay, we just need to get our data labels and go to the next step as quickly as possible. Now it's something where theyare actively investing resources into building the internal process and practices around label. The accuracy of the model kind more or less directly correlates with the quality of your label data sat. But i'm so envious of you fellows being in areas where things are getting a little bit better.
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