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A 3B-parameter model outperforms larger competitors in safety classification by reframing content moderation as a simple yes/no question.
Pinpointing *why* your model's predictions are changing just got easier: ShapShift uses Shapley values and decision trees to explain prediction shifts by attributing them to changes in the conditional probabilities of interpretable data subgroups.
Finally, a streaming ASR model matches Whisper's offline transcription quality while maintaining sub-second latency.
