Awesome Jev:早期项目与用例清单
社区作者整理当时可确认的 Jev 项目,帮助已经获得 API 访问权限的开发者寻找实践方向。
xmemory 介绍其按步骤选择合适模型的记忆构建方法,并分享将 TypeSafe 的 Jev 作为提取数据判断器的测试结果:恢复了 81% 的准确率差距,同时仅发送 38% 的数据(原文截断)。
The right model for the right step. That’s how we build memory at xmemory – benchmarking for quality, cost, and latency. We tested @typesafeai's Jev as a judge of extracted data. It recovered 81% of the accuracy gap between a fast and a slow extractor while sending only 38% of