Unverified50% confidenceFactExact time
Jeff is a Jev-compatible decision model with 0.8B parameters that can be trained on consumer hardware with an inference latency as low as approximately 30 milliseconds.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedThe method operates at inference time, requires no model retraining, can run in real time, and has a 95th-percentile decision latency below 61 milliseconds, which falls within the 80-millisecond single-frame budget.68% similarUnverifiedIn a smart home demo, Jev completed the classification of a natural language command and returned structured instructions in approximately 185 milliseconds.65% similarVerifiedA single LLM inference call can easily take hundreds of milliseconds or even seconds, whereas the execution time of deterministic code is typically at the microsecond level.63% similarUnverifiedRT-2的580亿参数方案推理延迟高达数秒，难以满足机器人实时控制的毫秒级响应需求59% similarVerifiedThe response time tolerance for code completion in AI programming tools is typically within 200–500 milliseconds.57% similar
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