Hugging Face 创始人：90% 真实场景里 LLM API 并非最优选择
lots of them! Reality is that LLM APIs are far from being the best way to do AI for 90% of use cases...
Hugging Face CEO 说九成场景用 LLM API 太浪费又贵又慢，Will Depue 还提到 zero-shot 分类器 Jev 这个老 ML 回潮的路子。
Hugging Face 联合创始人 Clement Delangue 发推称，LLM API 对 90% 的真实用例而言并非最佳方案，理由是它们往往过于冗余、速度慢、成本高且难以控制。Will Depue 在回复中谈及分类器模型 Jev，指出它本质上是 classifier，却具备接近前沿模型的 zero-shot 智能而且反响超出预期。他由此认为，除 Jev 之外还有更多类似的旧机器学习思路值得被重新启用。
lots of them! Reality is that LLM APIs are far from being the best way to do AI for 90% of use cases...
lots of them! Reality is that LLM APIs are far from being the best way to do AI for 90% of use cases in the real world (they're too overkill, slow, expensive, hard to control,...). We will discover that in the coming years as AI matures and gets adopted widely. will depue @willdepue i've been surprised at the response to Jev, but it makes sense in retrospect. sure it's just a classifier but it's a zero shot classifier with frontier-ish intelligence. i'm surprised someone hadn't built it before. i wonder what other old ML ideas are also worth rescuing 🔗 View Quoted Tweet 💬 15 🔄 10 ❤️ 101 👀 7576 📊 22 ⚡
