Jeff: Jev-Compatible 0.8B Decision Models with Low Latency, Trainable at Home

Core summary

One sentence to understand this update

Jeff introduces Jev-compatible 0.8B decision models that can be trained at home and achieve approximately 30 ms latency, demonstrating efficient local AI capabilities.

Impact & opportunity

What this could mean

Builders looking for small, high-performance decision models for local or edge deployments can find Jeff an attractive option, enabling rapid, cost-effective AI integration into their projects.