Sequoia Capital视频
"Building with LLMs is like brewing beer" | Ivan Zhao, Notion
6.5Score
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TL;DR · AI 摘要
构建大型语言模型（LLM）项目类似于酿造啤酒，无法完全预测结果，更多依赖于实验和技术探索。
核心要点
- 构建LLM项目类似于酿造啤酒，结果难以预测。
- 依赖技术探索而非客户需求驱动。
- 需要投入最佳资源进行实验。
结构提纲
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Building classic software is like engineering a bridge, which is predictable.
Building with language models is compared to brewing beer, where results are unpredictable.
You cannot control the outcome of brewing beer or building LLMs precisely.
The process is more about experimenting with technology rather than focusing on customer needs.
Best resources should be invested to see what technology provides.
思维导图
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- Building with LLMs
金句 / Highlights
值得收藏与分享的关键句。
Building with language models back then and somewhat still is is like brewing beer.
You can't truly predict the things. You cannot tell the yeast, 'Hey, go go go towards that flavor profile more.'
So, it's not customer first, it's more like experiment with this technology first.
#LLM#软件开发#技术探索