jevPOST
LangGraph 团队谈为何看好 Jev 的小单元决策范式
LangGraph 作者称 Jev 回归了「先小单元、按需迭代」的 AI 系统构建思路,并提到简单 LLM 决策范式在部分任务上能与当今大模型同台竞争。
Hunter Lovell
@huntlovell2026.09.27收录原推发布于 2026.09.26
Hunter Lovell @huntlovell原推发布于 2026.09.26
jev was really exciting to us since it’s a reprisal of how we think a lot of systems with AI should be built! think about it this way: when starting a project you don’t start with big behemoth k8s clusters (à la frontier models/ harnesses), you start with smaller units (jev) and iterate as needed we learned A LOT when simple decisions from LLMs were the paradigm (which is what langgraph was built around), to see this type of model stack rank next to models of today (*on subset of tasks) makes us really excited for the future
这条是引用着另一条写的:x.com/sydneyrunkle/status/2103560531235795129
x.com/huntlovell/status/2103580487784767843采集于 2026.09.27 10:12