Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control. Prompting a generative model is a promising recent development that in principle enables end-users to creatively leverage zero-shot and few-shot learning to assign new tasks to an AI ad-hoc, simply by writing them down. However, for the majority of end-users writing effective prompts is currently largely a trial and error process. To address this, we discuss the key opportunities and challenges for interactive creative applications that use prompting as a new paradigm for Human-AI interaction. Based on our analysis, we propose four design goals for user interfaces that support prompting. We illustrate these with concrete UI design sketches, focusing on the use case of creative writing. The research community in HCI and AI can take these as starting points to develop adequate user interfaces for models capable of zero- and few-shot learning.
翻译:深层基因模型有可能从根本上改变我们创造高忠诚数字内容的方式,但往往难以控制。 催化型模型是一个很有希望的近期发展,原则上使终端用户能够创造性地利用零点和少点的学习,简单地通过将其写下来,为AI ad-hoc分配新的任务。然而,对于大多数终端用户编写有效提示目前基本上是一个试验和错误过程。为了解决这个问题,我们讨论了交互式创造性应用的关键机会和挑战,这些应用利用提示作为人类-AI 互动的新范例。根据我们的分析,我们提出了支持快速的用户界面的四个设计目标。我们用具体的UI设计图解来说明这些设计目标,重点是创造性写作的用法。 HCI 和 AI 的研究界可以把这些作为起点,为能够零和少点学习的模式开发适当的用户界面。