There is a common refrain that AI requires high-quality data to deliver high-quality results. “Garbage in/garbage out” refers to the idea that any AI trained on less than perfect data will not be able to produce valuable outputs. Before I get accused of dismissing the importance of quality data, high-quality data does produce the best […]
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