Sapien AI Corp., a data labeling company, today announced it raised $5 million in a seed funding round to build out its service of providing high-quality annotation and labeling for training ...
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Data Labeling Is the Hot New Thing in AI
Earlier this summer Meta made a US $14.3 billion bet on a company most people had never heard of before: Scale AI. The deal, which gave Meta a 49 percent stake, sent Meta’s competitors—including ...
Two years ago, the entire world spent an estimated $800 million on data labeling: the painstaking process of annotating images and other information to train machine-learning and AI models. Now, the ...
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The ride-hailing giant, which unveiled a data-labeling platform late last year, thinks it can out-muscle the smaller rivals jockeying for position after Scale’s tie-up with Meta. Last week, Scale AI’s ...
Data labeling plays a pivotal role within the ever-expanding realm of AI. This intricate process involves the meticulous tagging and categorization of raw data, encompassing various formats such as ...
Simple data labeling is becoming obsolete as AI models require more complex training data, says Turing's CEO. AI training companies need to be a "proactive research partner" for major labs, Jonathan ...
Manually identifying images to be used in the training phase of an AI system. Data labeling is an essential component in AI development as it identifies all the objects in the world people may be ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...
Surge AI CEO Edwin Chen said data labeling is much more creative than it gets credit for. "I think a lot about what we're doing as a lot more like raising a child," Chen recently told "Lenny's Podcast ...
It could be easy to dismiss the work data-labeling firms do. Surge AI CEO Edwin Chen said that could stem from misunderstanding what they do. "I think a lot of people think of data labeling as it ...
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