DEVOURED
Revisiting Hard Questions with Replay Buffers
ZPPO improves AI learning by keeping hard-to-solve questions in a replay buffer to ensure the model doesn't just pass over challenging tasks once.
What: By repeatedly exposing the model to the most difficult training examples rather than seeing them once in a standard pass, the method reduces overfitting and boosts generalization.
Why it matters: This addresses a common flaw where training sets are seen once or in random order, causing models to fail on edge cases that require deeper reasoning.
Decoder
- Replay buffer: A storage mechanism that keeps a subset of past data or experiences to train on repeatedly, preventing the model from 'forgetting' or failing to master difficult samples.
- Distillation: A process where a smaller 'student' model is trained to mimic the outputs (logits) of a larger, 'teacher' model.
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