Ian
① 他说过的话
3 条
我们实际上有白皮书,我们的数据在做模型的强化学习方面与真实数据一样好。
指向原始笔记的链接
And we actually have white papers where our data does as well at doing reinforcement learning on models as real data.
—— Ian · [03:20]
我认为还因为像 Cursor 所做的事情,人们开始说,哦,等等,我可以坐下来使用基础模型,但随着这些人试图 IPO 并拥有更好的现金流,它们可能只会增加成本。
指向原始笔记的链接
I think also because of things like what Cursor did, people are starting to say, oh, wait, I could sit back and use the foundation models, but they’re probably only going to go up in cost as these guys try to IPO and have better cash flows.
—— Ian · [06:27]
你要么需要做一件叫做 Safe Harbor 的事情,这是一个 HIPAA 流程,它基本上会破坏数据,因为它并不是真的那么有价值,或者你可以做这件事叫做专家判定。
指向原始笔记的链接
You either need to do something called Safe Harbor, which is a HIPAA process that essentially nukes the data, like it’s not really that valuable, or you can do this thing called expert determination.
—— Ian · [08:12]
② 出现在这些集
1 集
- 《合成数据怎么做强化学习:Tonic AI 的方法》 — 作为主持
③ 他谈到的
点进去有真内容 —— 本页主要出口
Tonic AI · Textual · Fabricate · 强化学习 · 微调 · 去标识化 · 推理 · 智能体
