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Zico Kolter - Antidistillation Sampling [Alignment Workshop]
Автор: FAR․AI
Загружено: 2025-06-17
Просмотров: 156
Описание:
Zico Kolter introduces "Antidistillation Sampling," a computationally efficient method to generate text from closed-source models while rendering the outputs ineffective as training data for other models.
Highlights:
Anti-distillation sampling prevents student model improvement
Technique blocks learning from generated samples
Method hinders replication of closed-source models
Optimizes token selection for reduced knowledge transfer
Efficient computation using directional derivatives
Achieves strong student model performance degradation
Only moderately degrades performance from sampled model
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