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 ...
Data labeling has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of generative AI, the role of ...
While artificial intelligence threatens many traditional careers, a new profession is emerging with six-figure salaries and ...
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 ...
New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster results and 25% improvement in consistency, without sacrificing quality SAN ...
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 ...
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'The era of data-labeling companies is over,' says the CEO of a $2.2 billion AI training firm
Basic data-labeling work — the kind built on tagging images or sorting text — is becoming obsolete, said the CEO of a $2.2 billion AI training firm. Jonathan Siddharth, the CEO of Turing, said on an ...
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