AI HUB IN GENERATIVE MODELS

生成模型中的 AI 中心

• 批准号: EP/Y028805/1
• 负责人: David Barber
• 金额: $ 1306.08万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY028805%2F1
• 关键词: AI; HUB; GENERATIVE; MODELS

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.

生成模型是可以生成数据的AI模型。最近，研究人员已经证明，通过在大量数据（来自互联网的文本数据和图像）上训练这些模型，这些模型能够很好地理解我们的文本和图像世界，从而能够生成对问题的回答，并以惊人的保真度创建新图像。这预示着一个新的时代，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，这些进步仍然需要大量的研究--如何使他们在不同的问题上进行有效的培训，如何理解他们的可靠性和遵守道德规范。