Same thing when we have 'lm'.

单词中有“lm”时也是如此。

Adapted from the acclaimed classic LM Montgomery, Akage no Anna portrays Anna's Upbringing from 11 to 17 years of age.

改编自备受赞誉的经典之作——露西·莫德·蒙哥马利的《红发安妮》，《红发安妮》描绘了安妮从11岁到17岁的成。

Or for local inference, you can use projects like Llama CPP, LM Studio, or Olama.

或者，对于本地推理，您可以使用Llama CPP、LM Studio或Olama等项目。

The LM is orchestrating those tools and infrastructure.

大型语言模型在协调这些工具和基础设施。

Hey folks, Steven Johnson here, co-founder of Notebook LM.

大家好，我是史蒂文·约翰逊，Notebook LM 的联合创始人。

And LMs are pretty good at that, but they're not perfect.

语言模型在这方表现得相当出色，但并非完美无缺。

Was the LM able to use it?

语言模型能够利用它吗?

I'm going to start podcasting with Chad GPT and notebook LM soon.

我很快就要开始和Chad GPT以及Notebook LM一起做播客了。

Yeah, we get notebook LM to do it.

是的，我们让笔记本LM来完成。

Or the, the notebook LM I've used that.

或者，我使用的笔记本电脑。

And that's why LM has such a grim prognosis, historically.

这就是脑膜转移（LM）来预后如此糟糕的原因。

Okay, so using Google's notebook LM, I'm cheating to get a quick summary of that page.

好吧，借助谷歌的笔记本LM，我作弊来快速获取那页的概要。

Have you played with Notebook LM?

你试过使用Notebook LM吗？

My vantage point, the first time I fed a PDF into Notebook LM was the Spotify earnings report.

我的视角是，当我第一次将一个PDF文件输入到Notebook LM中时，那是Spotify的财报报告。

The way, as I understand, reinforcement learning works is they put the LM in a programming environment like Repl.

据我理解，强化学习的工作方式是将语言模型置于像 Repl.it 这样的编环境中。

LM triggers intense inflammation in the CSF.

脑膜转移会引发脑脊液中的强烈炎症反应。

They were essentially dispensable for this particular job in LM.

在脑膜转移这一特定情况下，它们基本上是可有可无的。

The potential is there to do something super interesting where I would see the use of an LM might be.

存在做某件非常有趣事情的潜力，在那里我可能会看到使用语言模型（LM）的用途。

Did they see evidence of this DC-to-NK communication in actual human LM patients?

他们是否在实际的人类脑膜转移患者中观察到了树突状细胞向自然杀伤细胞传递信号的证据？

In the zebra finches, the LM did what they expected, responding more to dots that seemed to move from back-to-front.

在斑胸草雀中，中脑豆状核的表现符合预期，对看似从后向前移动的点反应更强烈。