First, we produce what Turing would have called a child machine through an unsupervised learning process.

首先，我们做了一台图灵所称的“子计算机”，采用了无监督学习过程。

And please don't get this wrong, it's not like DeepMind has suddenly invented unsupervised learning, not at all.

请不要误会，这不是 DeepMind 突然就发明了无监督式学习，完全不是。

And our progress in what researchers refer to as unsupervised learning demonstrates the feasibility of building high-quality speech-to-speech translation models without any human annotations.

我们在研究人员称之为无监督学习方面的进展证明了在没有任何人工注释的情况下构建高质量语音到语音翻译模型的可行性。

However, unlike unsupervised learning, doctors and computer scientists have an active role in what happens next.

然而，与无监督学习不同，医生和计算机科学家对接下来发生的事情起着积极的作用。

For example, you can ask GPT-4 a question like this, of how much time passed between these two foundational blogs on unsupervised learning and learning from human feedback.

比如，你可以问 GPT-4 这么一个问题：这两篇关于无监督学习和基于人类反馈学习的基础性博客之间相差了多长时间。

For example, when our unsupervised learning program finds groups of patients that are similar, it could send that data to a connected supervised learning program.

例如，当我们的无监督学习程序发现相似的患者组时，它可以将该数据发送到连接的监督学习程序。

There are many different ways to build self-teaching programs. But they all rely on the three basic types of machine learning: unsupervised learning, supervised learning, and reinforcement learning.

有许多不同的方法可以构建自学程序。但它们都依赖于机器学习的三种基本类型：无监督学习、监督学习和强化学习。

However, there are learning techniques in the field of unsupervised learning, which means that the algorithm is given a bunch of images, or any media, and is instructed to learn on it without any additional information.

然而，在无人监督式学习领域中有这样的学习技术，即算法会拿到一堆图片或者任何媒介，并被指导如何在没有任何额外信息的情况下学习。