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Per the report in Nature, scientists refer to the technique as Meta-learning for Compositionality (MLC).
They further indicated that it has the capability to make generalizations about language.
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They also tested their capability to link the newly learned words with specific colors.
The scientist used the same premise to train a neural online grid.
However, they configured it to learn from its own mistakes.
The goal was to allow the system to learn from every task it completed rather than using static data.
It will be interesting to see how this plays out and how it reshapes systematic generalization.
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This is not to say that the technology is not achieving amazing feats already.
While impressive, thegenerative AIfaces its fair share of setbacks.
