聊天机器人
计算机科学
开放域
苏格拉底方法
领域(数学分析)
对话系统
万维网
编码(集合论)
比例(比率)
面子(社会学概念)
答疑
人机交互
自然语言处理
对话框
语言学
程序设计语言
数学分析
哲学
物理
数学
集合(抽象数据类型)
认识论
量子力学
作者
Yuhao Dan,Zhikai Lei,Yiyang Gu,Yongbo Li,Jianghao Yin,Jiaju Lin,L.X. Ye,Zhiyan Tie,Yougen Zhou,Yilei Wang,Aimin Zhou,Ze Zhou,Chen Qin,Jie Zhou,Liang He,Xipeng Qiu
出处
期刊:Cornell University - arXiv
日期:2023-01-01
被引量:12
标识
DOI:10.48550/arxiv.2308.02773
摘要
EduChat (https://www.educhat.top/) is a large-scale language model (LLM)-based chatbot system in the education domain. Its goal is to support personalized, fair, and compassionate intelligent education, serving teachers, students, and parents. Guided by theories from psychology and education, it further strengthens educational functions such as open question answering, essay assessment, Socratic teaching, and emotional support based on the existing basic LLMs. Particularly, we learn domain-specific knowledge by pre-training on the educational corpus and stimulate various skills with tool use by fine-tuning on designed system prompts and instructions. Currently, EduChat is available online as an open-source project, with its code, data, and model parameters available on platforms (e.g., GitHub https://github.com/icalk-nlp/EduChat, Hugging Face https://huggingface.co/ecnu-icalk ). We also prepare a demonstration of its capabilities online (https://vimeo.com/851004454). This initiative aims to promote research and applications of LLMs for intelligent education.
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