JayBot -- Aiding University Students and Admission with an LLM-based Chatbot
JayBot -- Aiding University Students and Admission with an LLM-based Chatbot
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JayBot——利用基于法学硕士的聊天机器人帮助大学生和入学
DOI：
10.1145/3627508.3638293
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Odede J
中科院分区：
文献类型：
--
作者：
Odede J
这篇演示文章介绍了JayBot，这是一个基于LLM的聊天机器人系统，旨在增强英国一所大学潜在和现有学生、教职员工的用户体验。JayBot的目标是向用户提供有关课程模块、持续时间、费用、入学要求、讲师、实习、职业道路、课程就业能力和其他相关方面的一般查询信息。利用生成式人工智能(AI)的用例，使用OpenAI的高级大型语言模型(GPT-3.5 Turbo)构建了Chatbot应用程序；为了解决幻觉以及结果的焦点和及时性等问题，嵌入转换器模型与矢量数据库和矢量搜索相结合。采用快速工程技术提高了聊天机器人的响应能力。初步的用户研究表明JayBot的有效性和高效性。该演示将在大学录取用例中展示JayBot，并讨论进一步的应用场景。
This demo paper presents JayBot, an LLM-based chatbot system aimed at enhancing the user experience of prospective and current students, faculty, and staff at a UK university. The objective of JayBot is to provide information to users on general enquiries regarding course modules, duration, fees, entry requirements, lecturers, internship, career paths, course employability and other related aspects. Leveraging the use cases of generative artificial intelligence (AI), the chatbot application was built using OpenAI’s advanced large language model (GPT-3.5 turbo); to tackle issues such as hallucination as well as focus and timeliness of results, an embedding transformer model has been combined with a vector database and vector search. Prompt engineering techniques were employed to enhance the chatbot’s response abilities. Preliminary user studies indicate JayBot’s effectiveness and efficiency. The demo will showcase JayBot in a university admission use case and discuss further application scenarios.