Jev 对比 Claude 与规则引擎的欺诈识别实测
用真实欺诈团伙测试，Jev 召回率 93% 超过 LLM 的 62%，接近数据分析 agent 写的速度规则 90%。
Jev vs. Claude vs. Rules: We ran a real fraud ring through all three. The headline result is that Jev classified best at 93% recall, followed closely by the velocity rules our Data Analyst Agent proposed at 90%, with an LLM making the classification decision trailing at 62%. This shows Jev is great at reasoning and classification jobs compared to LLMs. The fact that Jev was so close to a Data Analyst agent (which could write multiple SQL queries to investigate the fraud ring) is the real finding. Classification in code was already near-optimal, and Jev matched it. Read more in the article: https://x.com/soupsranjan/status/2101711928053920067
这条是引用着另一条写的：x.com/soupsranjan/status/2101711928053920067