People have been trained on that.

他们接受过这方面的培训。

These models are trained on women's bodies.

这些模特接受过女性身体的训练。

Because we haven't trained the model on you.

因为我们还没把你当成模型。

By virtue of having been trained on past compositions, they can only be derivative.

由于是在过去的文章上受训练，机器写手只能是衍生物。

I want to create portraits, I trained on portraits.

我想创作肖像，我就在肖像画方面进行训练。

Their eyes trained on the flooded grassland for the slightest sign of a snake.

他们的眼睛紧盯着被水淹没的草原，寻找蛇有任何风吹草动的迹象。

The robot is first trained on where to go and how long to stay there.

机器人首先被训练到哪里以及在那里停留多长时间。

The team is currently working on other versions of Ithaca trained on other ancient languages.

该研究小组目前正在开发其他版本的伊萨卡，这些版本的伊萨卡是针对其他古代语言进行训练的。

Daniela Roessler and her colleagues trained cameras on baby jumping spiders at night to find out.

丹妮拉·罗斯勒和她的同事在夜间用相机对准小跳蛛幼蛛拍摄，以找出答案。

And that is probably because the AI was " trained" on videos that only had one person.

这可能是因为 AI 只被训练过单人视频。

It is running an AI model trained on thousands of portraits from the 17th to 19th centuries.

这个 AI 模型的训练材料是17 至 19 世纪的数千幅肖像画。

They were trained on an iPad instead of a simulator to cut costs and shorten training time.

为了节省开支。缩短训练时间，人们用 iPad 替代模拟机，对飞行员进行训练。

It doesn't know the rule of " there are this many" because it's trained on different amounts.

它不知道“有这么多”的规则，因为它接受过不同数量的训练。

ChatGPT was trained on a large corpus of text from the internet, including books, articles, and websites.

ChatGPT 接受了来自互联网的大量文本的培训，包括书籍、文章和网站。

The latest AI models from Google and Meta, two tech giants, are likely trained on over 1trn words.

谷歌和Meta这两家科技巨头的最新AI模型的训练数据可能会超过1万亿个单词。

To eliminate this, a tiny camera hidden in the dashboard can be trained on a driver's face and eyes.

为消除这一隐患，藏在仪表板里的一架微型相机可对准开车者的脸部及眼睛。

This network is capable of creating images that are significantly different than the ones it has been trained on.

这个网络能够创造出和训练它时所用的图像，完全不同的图像。

Developed by San Francisco-based open AI, ChatGPT is trained on a vast amount of language data from the internet.

ChatGPT是由坐落于旧金山的OpenAI开发，依据互联网上的大量语言数据对其进行训练。

So it's kind of trained itself on that information and pulling from that to answer your questions.

所以它基于这些信息训练自己，并从中提取信息来回答你的问题。

The next step, says Dr Langbein, is to see if cattle on a working farm can be similarly trained.

朗本博士说，下一步是看看农场里的牛是否能够接受类似训练。