Primary sourceLenny Rachitsky
View sourceEvent ·Multi-source
Hamel Husain 与 Shreya 推出进阶 evals 技能包,可让编码智能体代做大部分工作
Lenny Rachitsky 推荐 Hamel Husain 和 Shreya Shankar 发布的进阶 evals 技能包,是他们此前热门课程《Building eval systems that improve your AI product》的续作。内容基于两人与 50+ AI 公司的合作经验,讲解大多数团队跳过的关键步骤以及哪些环节该自动化、哪些不该。配套一个免费插件,能让编码智能体承担大部分搭建 evals 的工作。文中案例包括 Ramp 把自动收据收集准确率从 35% 提到 83%,Shopify 的 AI 工作流构建器比原前沿模型方案快 2.2 倍、省 68% 成本,Harvey 重建 AI 合同审查器后内部质量分接近翻倍,Cursor 调优 Auto Balance 路由后成本降 41%。
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做 AI 产品必看,Hamel 和 Shreya 把踩坑经验做成免费技能包,让编码智能体帮你搭 evals,Ramp 和 Cursor 都靠这招降本增效。
11 sources73° AI heatLast updated 2026/9/22 18:27:37
Evidence
11 sourcesRelated source 1AI Will
View sourceRelated source 2Hamel Husain
View sourceRelated source 3shao__meng
View sourceRelated source 4eric zakariasson
View sourceRelated source 5elvis
View sourceRelated source 6arXiv: OpenAI
View sourceRelated source 7Blognone
View sourceRelated source 8LangChain
View sourceRelated source 9AWS Machine Learning Blog
View sourceRelated source 10IT之家
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