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 ...
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 ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Recent advancements in large generative models have resulted in widespread interest in their ...
Advanced tooling integration, hybrid annotation models, regulatory compliance investments, supplier ecosystem evolution, modular and interoperable solutions. Data Collection & Labeling Market Data ...
An alum of Google, Facebook and Twitter, Edwin Chen built his data labeling company, Surge, in the background of the AI revolution. Now the youngest member of the Forbes 400 is ready to step out of ...
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 ...
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The ride-hailing giant has reportedly offered AI “coders for hire” since at least November. Ride-hailing giant Uber is promoting its data labeling services to potential clients following Meta’s 49% ...
A discussion on a groundbreaking initiative from the National Geospatial-Intelligence Agency (NGA) — a $700 million investment in data labeling to empower artificial intelligence in geospatial ...
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