Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.
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Google’s HOPE Model: A Big Leap Toward AI That Never Forgets

It’s a common problem where AI keeps forgetting bits of information. Google is trying to fix that issue with its experimental model called HOPE. Designed around a new paradigm called nested learning, ...