Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

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 ...

Recent advancements in large generative models have resulted in widespread interest in their ability to act on complex instructions. These so-called foundational large language models (LLMs), e.g., ...

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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 ...

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 ...

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 ...