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.

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More If there’s one thing that has fueled the rapid progress of AI and machine ...

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., ...

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 ...

Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine ...