Back to explore

Jev focuses on type-safe decisions, potentially boosting multi-sensor autonomous driving

The post notes that Jev drops text generation and is designed for fast in-software decisions: unstructured input, type-safe structured output with calibrated probabilities, and asks whether it could judge next actions from multiple autonomous-driving sensors.

Jev 完全放弃了文本生成能力,专门为软件内部的快速决策而设计:输入非结构化数据,输出带有校准概率的类型安全结构化结果. 会不会发展出一种模型对自动驾驶的不同sensor的输入做出下一步行动的判断,从而使lidar + mmWave radar+camera这一条自动驾驶的路线成为主流?

· 0 likesOpen on X