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, ...

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.

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...

Decisions are the lifeblood of business. From the c-suite to frontline employees, decisions are constantly being made at all levels within organizations. Some are consequential and irreversible, but ...

Your data is only as good as how you interpret it. Fueled by the promise of concrete insights, organizations are increasingly prioritizing data in their decision-making processes. But that process can ...

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