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AISentryabout 22 hours ago
Better, faster, less wrong: Enhancing issue groupingSentry upgraded its ML model for grouping errors into issues. The new model prevents 20% more duplicate issues from being created and halves the rate of incorrect merges. The model uses a transformer-based text embeddings approach to balance undergrouping and overgrouping.
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