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Hive’s partnership with Thorn is expanding to include a new CSE Text Classifier API, which can help trust and safety teams proactively combat text-based child sexual exploitation at scale.
This blog post will illustrate the impact of dirty data and why correct labeling is important for increasing the model accuracy.
Hive taps a workforce of 700,000 people to label data and train AI models
This CEO is paying 600,000 strangers to help him build human-powered AI that’s ‘whole orders of magnitude better than Google
