📄 中文摘要
一家非营利组织在波特兰帮助200多户低收入家庭，面临着繁重的手动工作，每周花费数小时回答相同的问题。组织的网站过时，Facebook 群组混乱。通过了解大语言模型（LLM），组织意识到可以利用这些技术来解决问题。尽管没有技术团队，负责人从简单的步骤开始，整理旧活动传单并分类，使用免费的工具和 Hugging Face 的推理 API，逐步构建了一个社区中心，成功地将信息整合并提供给需要帮助的家庭。
从零到本地人工智能中心：我的非营利组织如何在21天内建立社区中心（无需技术团队）
📄 English Summary
From Zero to Local AI Hub: How My Nonprofit Built a Community Hub in 21 Days (Without a Tech Team)
A nonprofit organization in Portland, assisting over 200 low-income families, faced overwhelming manual work, spending hours weekly answering repetitive questions. Their website was outdated, and the Facebook group was chaotic. By learning about large language models (LLMs), they realized they could leverage this technology to address their challenges. Despite lacking a tech team, the leader started with simple steps, organizing old event flyers into categories and using free tools like Hugging Face's Inference API. This approach gradually built a community hub, successfully consolidating information and providing support to families in need.