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Zubin Aysola · AI 辅助插画

Weights & Biases

Zubin Aysola

访谈出场 1 场 · 原话 2 条

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AI 辅助插画 · 参考照片:本人、机构或原活动页面发布;摄影者未注明 · 参考图使用许可未确认 · 依据已核对姓名的来源页面图像,由 AI 绘制 B 细线彩铅头像;调整背景与肩部构图。展示图缩放至最长边 640 像素并转为 WebP。 · 参考图:Zubin Aysola: Bio, Work & Ideas | AI Engineer — Zubin Aysola

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公开发言

3原话逐字核对过;转述不加引号
一个会自我改进的智能体是怎么造的
Um so I think the exciting part here is that both using the logging framework from weave as well as just in the way that we've designed the system our research and production code are exactly the same. And in fact, there's like a 4-hour sync job that happens between production to
自动字幕 · 已核对Zubin Aysola▶ 00:05:35
一个会自我改进的智能体是怎么造的
instead of going back to my cloud code and writing offline benchmarks and trying to think about what I want the agent to do, I'm just going to live in this platform instead and hop between my production tracing project where I'm looking at traces roll in as they come through over time where AR is, you know, building itself
自动字幕 · 已核对Zubin Aysola▶ 00:14:13
一个会自我改进的智能体是怎么造的

离线评估必须在与线上生产字节级完全一致的环境中执行与打分,而评分体系的稳健性设计是衡量自我改进成果的核心工作。

出场

1