James Long 测试 Jev 从银行原始数据提取收款人描述
James Long 用 Jev 解决个人财务工具中最棘手的问题:从原始银行数据中生成良好的收款人描述,首次尝试即达到约 95% 的完成度,并指出还有多种优化提问方式。
开发者分享首次投资经历,利用 TypeSafe JEV 进行非数学数据分析,构建了包含投资组合感知建议的股票市场评分与决策引擎。
Built a stock market scoring and decision engine and invested for the first time! 🚀 It includes portfolio-aware suggestions. Used @typesafeai's JEV for non-mathematical data analysis. Open to the following positions btw. 👨💻 Senior Front-end | Product | Mobile (RN) Engineer.