FlowGPT：探索社区生成式AI聊天机器人的领域、输出模态与目标
FlowGPT: Exploring Domains, Output Modalities, and Goals of Community-Generated AI Chatbots
AI总结：
本文以FlowGPT平台为研究对象，分析社区生成的AI聊天机器人在应用领域、输出模态和设计目标上的分布特征，揭示常见应用类型并为AI分享社区研究提供方向。
摘要：
生成式人工智能与大语言模型的出现不仅提升了交互式应用的智能水平，也催生了热衷于定制这些AI能力的社区的形成。FlowGPT作为一个新兴的AI提示词与用例分享平台，正是这一趋势的典型代表，吸引了众多创作者开发并与更广泛的社区分享聊天机器人。尽管其受欢迎程度日益增长，但人们对社区成员创建和分享的AI工具的类型与用途仍缺乏足够的理解。在本研究中，我们深入考察FlowGPT，并呈现关于聊天机器人的领域、输出模态与目标的初步发现。我们旨在揭示常见的AI应用类型，并为AI分享社区的未来研究方向提供指引。
英文摘要：
The advent of Generative AI and Large Language Models has not only enhanced the intelligence of interactive applications but also catalyzed the formation of communities passionate about customizing these AI capabilities. FlowGPT, an emerging platform for sharing AI prompts and use cases, exemplifies this trend, attracting many creators who develop and share chatbots with a broader community. Despite its growing popularity, there remains a significant gap in understanding the types and purposes of the AI tools created and shared by community members. In this study, we delve into FlowGPT and present our preliminary findings on the domain, output modality, and goals of chatbots. We aim to highlight common types of AI applications and identify future directions for research in AI-sharing communities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
