Training sets like the ones Google and Facebook have are private.

像谷歌和脸书拥有的训练集都是私有的。

For common tasks such as facial recognition, pre-built training sets are often available.

对于面部识别等常见任务，通常可以使用预先构建的训练集。

In time, bigger training sets of better music will largely overcome such shortcomings, developers reckon.

开发人员认为，随着时间的推移，增加优质音乐的训练样本将在很大程度上克服这些缺点。

He intends to make his results, including the labour-intensive training set, available for others to use.

他打算将他的成果，包括劳动密集的“训练集”，提供给其他人使用。

This training set included known antibiotics, such as Cipro and penicillin, as well as many drugs that are not antibiotics.

这个训练集包括了已知的抗生素，例如环丙沙星和青霉素，以及许多不是抗生素的药物。

Training sets don't just materialize out of nowhere.

训练集不会凭空出现。

We can also start to create more inclusive training sets.

我们还可以开始创建更具包容性的训练集。

Machine-learning systems are taught what to do by examining a " training set" , which contains examples of what is being searched for.

机器学习系统通过检查“训练集”来学习该做什么，“训练集”包含正在搜索的内容的示例。

So how this works is, you create a training set with examples of faces.

所以这是如何工作的， 你创建一个包含面孔示例的训练集。

African-American images were underrepresented in the training set, leading to wrong decisions and predictions.

非裔美国人图像在训练集中的代表性不足，导致错误的决定和预测。

Outfits that have coughed up for licensing fees note that this can get expensive. To save on that cost, MusicGen's training set mostly sidestepped hits, says Dr Adi.

支付版权费的公司指出，开发可能会变得昂贵。阿迪博士表示，为了节省成本，MusicGen的训练样本大多避开了热门歌曲。

So any solution where there's a large training set, a large community, these technologies will transform the economics, the potential, the brands and the impact they have.

因此，任何有大量培训集、大型社区的解决方案，这些技术都将改变经济、潜力、品牌及其影响。

In this pilot project, we first tested roughly 2,500 compounds against E. coli. This training set included known antibiotics,such as Cipro and penicillin,as well as many drugs that are not antibiotics.

在这个试点项目中， 我们首先针对大肠杆菌测试了大约 2,500 种化合物。 该训练集包括已知的抗生素， 例如 Cipro 和青霉素， 以及许多不是抗生素的药物。

Let's take a closer look at the study's program: For the 2-day group, we can see that they performed 16 total training sets spread across 5 exercises, which isn't too far off from what people normally do.

对于为期两天的小组，我们可以看到他们总共进行了 16 套训练，分布在 5 个练习中，这与人们通常做的并不相差太远。

The authors weigh these arguments against the fact that the more access to training sets there is, the better AI will be, and that without such access there may be no AI at all.

作者权衡了这些论点与这样一个事实， 即访问训练集的机会越多，AI 就会越好， 如果没有这样的访问权， 可能根本就没有 AI。

The limitations of this technique includes the inability of detecting expressions that are very far away from the ones seen in the training set, and as you can see in the videos, temporal coherence could also use some help.

3D技术的局限性包括，不能检测那些人们在训练装置中看到的偏差很大的表情或者你可以在录像中看到的表情，片段的连贯性也需要改进。