AI HUB IN GENERATIVE MODELS

生成性模型是可以生成数据的人工智能模型。最近，研究人员表明，通过对这些模型进行大量数据(来自互联网的文本数据和图像)的训练，这些模型学会了很好地理解我们的文本和图像世界的规则，以至于它们可以对问题做出回答，并以惊人的保真度创建新的图像。这预示着一个新时代的到来，在这个时代，计算机可以帮助人类比以往任何时候都更有效地执行任务，为社会、科学和工业带来重大机遇。然而，这些进展仍然需要重要的研究--如何让他们在不同的问题上进行有效的训练，如何理解他们的可靠性和对道德规范的遵守。

Generative Models are AI models that can generate data. Recently researchers have shown that by training these models on large amounts of data (text data from the internet and images) these models learn to understand the regularities of our text and image world so well that they can generate responses to questions and create new images with surprising fidelity. This heralds a new era in which computers can assist humans to carry out tasks more efficiently than ever with significant opportunities for society, science and industry. However, these advances need significant research still -- how to make them train efficiently on different problems, how to understand their reliability and adherence to ethical norms.