How does Active Learning optimize an annotation workflow compared to a random sampling approach?

In a random sampling approach, you select data points to label by chance, which often results in wasting time on simple examples the model already understands. Active Learning optimizes this workflow by using an algorithm to identify the most informative data points, meaning those that create the most uncertainty for the model. By prioriti....