Large Language Models (LLMs) are transforming the way people generate,
explore, and engage with content. We study how we can develop LLM applications
for online social networks. Despite LLMs' successes in other domains, it is
challenging to develop LLM-based products for social networks for numerous
reasons, and it has been relatively under-reported in the research community.
We categorize LLM applications for social networks into three categories. First
is knowledge tasks where users want to find new knowledge and information, such
as search and question-answering. Second is entertainment tasks where users
want to consume interesting content, such as getting entertaining notification
content. Third is foundational tasks that need to be done to moderate and
operate the social networks, such as content annotation and LLM monitoring. For
each task, we share the challenges we found, solutions we developed, and
lessons we learned. To the best of our knowledge, this is the first
comprehensive paper about developing LLM applications for social networks.

基于大型语言模型（LLM）开发在线社交网络的应用程序是具有挑战性的，并且在研究界中报道相对较少。本研究将 LLM 应用程序分为三类：知识任务、娱乐任务和基础任务，并提供了相应的挑战、解决方案和经验教训。据我们所知，这是第一篇关于将 LLM 应用于社交网络开发的综合性论文。