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 ...
AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...
On an episode of the "20VC" podcast released last week, Matt Fitzpatrick, the CEO of Invisible Technologies, said that one of ...
Morning Overview on MSN
Job hunters are cashing in by training AI to replace their old jobs
Across the knowledge economy, a strange new side hustle is taking hold: people who fear their roles will be automated are ...
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 ...
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 ...
Ali Ansari’s decision to turn micro1’s AI recruitment assistant into a data labeling business spiked the company’s valuation from $80 million to discussions at $2.5 billion. Now he’s working on ...
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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