Need another indicator that the generative artificial intelligence industry is real and making progress? Look at the booming business of data labeling and annotation, which is an essential step in training the models that power AI products ranging from what’s currently vogue in the industry—chatbots!— to ongoing projects such as self-driving vehicles and tools that diagnose diseases. During the data labeling step, usually, a team of humans will identify data points, whether that’s the severity of the damage in 100,000 photos of different cars for an insurance company, or the sentiments of people who interact with support agents for a customer service company. Data annotation is a critical
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