用大学数据训练的聊天机器人，回答更准更懂行。
KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication
- 用6280个句补+7330个问答对微调专用大模型
- 在真实场景中比开源模型准确率更高，用户满意度提升
- 适合高校信息咨询，代码开源可复用
高校内高效沟通对满足学生、校友及外部利益相关者的信息需求至关重要。然而现有聊天机器人系统常无法提供准确且上下文相关的回复，导致用户体验不佳。本文提出KatzBot，其核心为基于领域特定学术数据微调的KatzGPT——一个定制的大语言模型（LLM）。KatzGPT在两个大学专属数据集上训练：6,280个句子补全对与7,330个问答对。KatzBot在实际应用中表现优于现有开源大模型，在准确性和领域相关性上均取得提升。系统提供友好的用户界面，显著改善了真实场景下的用户满意度。源代码已公开于\url{https://github.com/AiAI-99/katzbot}。
原文摘要 · Abstract (English)
Effective communication within universities is crucial for addressing the diverse information needs of students, alumni, and external stakeholders. However, existing chatbot systems often fail to deliver accurate, context-specific responses, resulting in poor user experiences. In this paper, we present KatzBot, an innovative chatbot powered by KatzGPT, a custom Large Language Model (LLM) fine-tuned on domain-specific academic data. KatzGPT is trained on two university-specific datasets: 6,280 sentence-completion pairs and 7,330 question-answer pairs. KatzBot outperforms established existing open source LLMs, achieving higher accuracy and domain relevance. KatzBot offers a user-friendly interface, significantly enhancing user satisfaction in real-world applications. The source code is publicly available at \url{https://github.com/AiAI-99/katzbot}.
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