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Large language models have become astonishingly versatile, but the tools we use to measure their abilities have not kept pace. A new study published in Neural Computing and Applications argues that the very advances making foundation models broadly useful are also pushing them into specialized, context-dependent applications that existing evaluation methods cannot adequately assess. The…