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Google Introduced Nested Learning: a new ML paradigm for continual learning that views models as nested optimization problems to enhance long context processing.

A proof-of-concept model, Hope, shows improved performance in language modeling.
Google Research Introducing Nested Learning: A new ML paradigm for continual learning We introduce Nested Learning, a new approach to machine learning that views models as a set of smaller, nested optimization problems, each with its own internal workflow, in order to mitigate or even completely avoid the issue of “catastrophic forgetting”…
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