Not until I found something hidden in the BIOS interface.

后来我发现基本入系统接口上隐藏有东西。

So, we type output, plus equals.

所，我们入，上等于。

So actually they have to use DirectIO.

所实际上他们不得不使用直接入（DirectIO）。

Well, it's to be suggestive of a certain way to visualize this input output relationship.

这是一种将入关系视化的方法。

Such data offers gross support of contemporary models of memory that assume an input-output balance.

这样的数据为假设入平衡的当代记忆模型提供了粗略的支持。

So I wrote something called, it was an I-O package, right?

所我写了一个叫做入包的东西，对？

Like even if you look at rough and UV, Because in UV, we're doing way more IO.

就像即便你看看Ruff和UV，因为在UV中，我们处理了更多的入操作。

You've got all these different tools, databases, models, lab scripts, maybe totally different inputs, outputs, ways of working.

你手头有各种不同的工具、数据库、模型、实验脚本，入方式能完全不同，工作方式也各不相同。

Imagine that we have a large database with these geometries and images, and we can search and compare them with arbitrary inputs and outputs.

试想我们有一个很大的图像和几何形状数据库，然后我们索数据库中的模型并和任意的入进行比较。

I think so, because it's such an important input-output for us.

我认为是这样，因为这对于我们的入非常重要。

(laughing) I love how it has complete in and out ports to support all kinds of data transmission and display output.

（笑）我喜欢它完整的入端口，支持各种数据传和显示。

Uh, there's just not, but the USB access input and output, then there's no way of getting input from you guys.

嗯， 只是没有， 但有USB接口的入功能，这样就无法从你们那里获取入了。

That just describes the input-output relation, and not any theory or wishful thinking about what the computer is doing to be able to achieve that.

它只是描述入关系，而不是计算机如何做到这一点的任何理论或妄想。

But if you're less than that, and for reading, if you're doing a reading process, and essentially it's not compute bound, it's IO bound.

但如果你的进程小于那个程度，且在进行读取操作， 基本上它不是计算密集型的，而是入密集型的。

And so for supervised learning, we try to gather lots of such data and we train these machine learning models to imitate the input output.

因此，对于监督学习，我们试图收集大量这样的数据，并训练这些机器学习模型来模仿入。

Many predict that speech technologies will become as common a form of interaction as screens, keyboards, trackpads and other physical input-output devices that we use today.

许多预测语音技术将成为像屏幕、键盘、触控板和其他我们今天使用的物理入设备一样常见的交互方式。

And so a lot of being fast, not all, but a good chunk of being fast is trying to be smart about how you do IO.

因此，速度的提升，并非全部，但相当一部分，在于如何巧妙地处理入。

But in standard IO, you run locally, and you can do whatever you want anyway, and you might just pop open a browser and deal with it that way.

但在标准入中， 你在本地运行，无论如何都随心所欲地操作，你甚至直接打开浏览器， 通过这种方式来处理问题。

And this prompting is essentially just showing it a few more examples, almost like you do show examples, input-output examples, algorithmically speaking, to the process of creating this model.

这种提示本质上就是展示更多的例子，几乎就像你展示入样例一样，从算法角度来说， 这是在创建这个模型的过程中进行的。

And coming up with a bill of materials, coming up with what it could look like, what would be the input output, how we could make a better headphone jack.

并且制定物料清单，构思它的外观，确定入的规格， 及我们如何能打造更色的耳机插孔。