When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
Artificial intelligence can be a godsend in collecting and analyzing data at commercial real estate firms. It can also jeopardize the security of that very data. Solving that conundrum is becoming ...
Traditionally, AI progress was constrained by one thing above all else: access to data. Not enough volume. Not enough ...
To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
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