Deep Learning · Level 2 of 5
Pretraining
Initial training that builds reusable model capabilities before later adaptation.
Its objective and data influence what subsequent tasks the model can learn efficiently.
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Pretraining. Initial training that builds reusable model capabilities before later adaptation. Its objective and data influence what subsequent tasks the model can learn efficiently. For example: A text model learns to predict tokens across a broad corpus.
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This helps explain why a neural model learns well, becomes unstable, or fails to generalize.
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