Unverified50% confidenceBenchmarkExact time
TypeSafe AI Jev achieves latency comparable to regex on Qwen 1.7B (576.2 milliseconds vs 567.5 milliseconds, statistically verified t=8.138, p=1.38×10⁻⁹) while restoring recall to 65.7%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedUnder the fixed non-source-separated clip-level protocol, the FPV-CRASH reference model achieves MAE 0.56 seconds, MedAE 0.33 seconds, and a localization-within-0.5-seconds rate of 65.71%, while the strongest fixed temporal prior baseline has an MAE of 1.12 seconds and a localization-within-0.5-seconds rate of 37.14%.73% similarVerifiedJev completes classification tasks in only 70 to 500 milliseconds, which is 40 to 200 times faster than traditional LLMs.69% similarUnverifiedJev typically returns results within 200 to 300 milliseconds.68% similarUnverifiedA five-minute recording conducted on the UNO Q at a 0.5 Hz sampling rate showed a pipeline latency median of 467.8 milliseconds and a 95th percentile of 580.3 milliseconds.68% similarUnverifiedWith an 800 token input prompt, Qwen3.8-27B's time to first token is 3.46 seconds and Ornith 1.5's is 0.49 seconds, the latter's time to first token being about one seventh of the former's.68% similar
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