Humans play a central role in the AI lifecycle. A simple task of data labeling still requires a lot of human input, cannot be fully automated yet and takes up to 80% of data scientists’ time when building an AI application. Even after a dataset is ready, humans must train AI models, integrate AI into existing business processes, supervise AI performance, and validate results. Driven by the idea of engaging data labelers in the revenue Read More The post Blockchain Platform Allows People in Low-Wage Countries to Earn Crypto for Labelling AI Data appeared first on Bitcoinist.com.



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