Back to explore

awesome-jev-tools: Low-Latency Typed Routing and Classification Patterns

Introduces the awesome-jev-tools project, focusing on removing token-by-token decoding in favor of a low-latency typed decision layer, and collecting routing and classification patterns under 300ms p50.

Éliminer le décodage token par token pour ne garder qu'une couche de décision typée à faible latence. Awesome-jev-tools centralise les patterns de routing et de classification sous la barre des 300ms p50.

awesome-jev-tools: Low-Latency Typed Routing and Classification Patterns 1
· 0 likesOpen on X