211 分钟深入解析ChatGPT等LLM
充分理解现代大语言模型架构，能够分析token、训练、工具和故障。
高级ChatGPT与大语言模型
为什么AI评估是产品构建者最热门的新技能｜Hamel Husain与Shreya Shankar
Lenny's Podcast. Hamel Husain和Shreya Shankar以一个真实的物业管理AI助手为例，完整讲解评估工作流：查看追踪记录，对错误进行开放式编码和轴心编码，判断何时停止，构建“LLM充当评审”，并依据人工判断验证它。这类真正面向产品经理和团队负责人（而非机器学习工程师）的长篇对谈非常少见，它还涵盖了文章建议的“设置完成后每周投入30分钟”节奏。
AI Expert 注释
这仍是最适合非工程师的AI评估讲解之一，因为它关注的是工作流纪律，而不是特定工具。保留这套方法，再根据你的隐私和可观测性约束选择工具。
您应该从中获得什么
掌握面向产品构建者的评估闭环：检查追踪记录、标注故障、定义标准、测试改动，并与人工判断进行比较。
先观看或了解
至少有一个质量可能随时间改善或下降的AI工作流。
最后审核：2026年5月18日
继续观看
通过相同的视频学习路径，继续观看下一个精选配套视频。
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