The Silent Vector Contamination Bug: Why Your Concurrent Embeddings Might Be Lying to You
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TL;DR: If you run concurrent inference (e.g., via OpenVINO AsyncInferQueue or custom threading) for text/code embeddings, your tests might show 0 exceptions and 0 errors , while silently returning embeddings belonging to other inputs in the batch. Here is how we caught a subtle race condition using a cosine-similarity contamination test. The Setup We use OpenVINO with an INT8 quantized E5-small model for in-process code embedding. To maximize throughput on multi-core CPUs, we set up an…
1Key Takeaways
- TL;DR: If you run concurrent inference (e.g., via OpenVINO AsyncInferQueue or custom threading) for text/code embeddings, your tests might show 0 exceptions and 0 errors , while silently returning embeddings belonging to other inputs in the batch.
- Here is how we caught a subtle race condition using a cosine-similarity contamination test.
- The Setup We use OpenVINO with an INT8 quantized E5-small model for in-process code embedding.
- To maximize throughput on multi-core CPUs, we set up an….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that tL;DR: If you run concurrent inference (e.g., via OpenVINO AsyncInferQueue or custom threading) for text/code embeddings, your tests might show 0 exceptions and 0 errors , while silently returning embeddings belonging to other inputs in the batch.
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