Predictive Data Debugging: Estimating Preference Training Effects Before Committing Compute
allen_ai · x · 2026-09-10
The core method from the Ai2 x Goodfire collaboration: "predictive data debugging" estimates which behaviors a batch of preference data will strengthen or suppress before committing compute to a full training run — turning post-hoc eval archaeology into a computable, pre-training prediction.
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