Iterative Alignment Methods
Nathan discusses the use of iterative alignment methods in training models, emphasizing the importance of data filtering to prevent model collapse. Insights include leveraging synthetic data for training and the significance of accumulating data rather than relying solely on on-policy iteration.In this clip
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Frontiers in synthetic data
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