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Continual learning is most compelling near capability frontiers

Continual learning is most compelling near capability frontiers

Karanam says he is especially interested in tasks near the boundary of current model capabilities, where unsuccessful user requests can become training signals that expand what the system can subsequently accomplish.

Source timestamp
10:31

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