论文标题
帮助我思考：非专家使用模型创建自定义内容的简单提示策略
HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models
论文作者
论文摘要
控制语言模型生成的文本并自定义内容一直是一个长期的挑战。追求控制控制的现有提示技术是特定于任务的，缺乏一般性。这为非专家用户提供了压倒性的选择，可以找到适合其任务的方法。与这些技术相关的努力，例如在写作示例，解释，说明等。进一步限制了它们在非专家用户中的采用。在本文中，我们提出了一个简单的提示策略，可以帮助我思考我们在哪里鼓励GPT3通过提出一组相关问题并利用用户答案执行任务来帮助非专家用户。我们演示了我们的技术的功效，可以帮助我考虑各种任务。具体来说，我们专注于对普通人来说很难且需要大量思考的任务。我们希望我们的工作将鼓励发展非常规的方式来利用大语模型的力量。
Controlling the text generated by language models and customizing the content has been a long-standing challenge. Existing prompting techniques proposed in pursuit of providing control are task-specific and lack generality; this provides overwhelming choices for non-expert users to find a suitable method for their task. The effort associated with those techniques, such as in writing examples, explanations, instructions, etc. further limits their adoption among non-expert users. In this paper, we propose a simple prompting strategy HELP ME THINK where we encourage GPT3 to help non-expert users by asking a set of relevant questions and leveraging user answers to execute the task. We demonstrate the efficacy of our technique HELP ME THINK on a variety of tasks. Specifically, we focus on tasks that are hard for average humans and require significant thinking to perform. We hope our work will encourage the development of unconventional ways to harness the power of large language models.
