论文标题
如何提示？在生成模型的创造性应用中，人类互动的零和少数学习的机会和挑战
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
论文作者
论文摘要
深层生成模型有可能从根本上改变我们创建高保真数字内容的方式，但通常很难控制。提示生成模型是一种有希望的最近发展，原则上，最终用户可以创造性地利用零射击和几乎没有学习的学习来将新任务分配给AI Ad-Hoc，而只需写下它们即可。但是，对于大多数最终用户而言，编写有效提示目前主要是试验和错误过程。为了解决这个问题，我们讨论了使用促使人类互动的新范式的交互式创意应用程序的关键机会和挑战。根据我们的分析，我们为支持提示的用户界面提出了四个设计目标。我们用混凝土UI设计草图说明了这些内容，重点是创意写作的用例。 HCI和AI的研究界可以将这些作为起点，以开发足够的用户界面，以供能够零和少数学习的模型。
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.
