{"title":"JayBot - 通过基于法律硕士的聊天机器人为大学生和招生工作提供帮助","authors":"Julius Odede, Ingo Frommholz","doi":"10.1145/3627508.3638293","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":220434,"journal":{"name":"Conference on Human Information Interaction and Retrieval","volume":"14 5","pages":"391-395"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"JayBot - Aiding University Students and Admission with an LLM-based Chatbot\",\"authors\":\"Julius Odede, Ingo Frommholz\",\"doi\":\"10.1145/3627508.3638293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":220434,\"journal\":{\"name\":\"Conference on Human Information Interaction and Retrieval\",\"volume\":\"14 5\",\"pages\":\"391-395\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Human Information Interaction and Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3627508.3638293\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Human Information Interaction and Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3627508.3638293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
JayBot - Aiding University Students and Admission with an LLM-based Chatbot
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.