Large language models (LLMs) like ChatGPT have shown promise in generating educational content, including questions. This study evaluates the effectiveness of LLMs in classifying and generating educational-type
In conclusion, by providing advanced learning strategies and tools, large language models represent a tremendous potential for revolutionizing education. These models provide a range of benefits, including personalized learning experiences, timely feedback and support, automated tasks, and the development of...
On opportunities and challenges of large language models for education. Learning and Individual Differences, 103.https://doi.org/10.1016/j.lindif.2023.102274 Ke, L., Zhang, G., He, J., Li, Y., Li, Y., Liu, X., & Fang, P. (2023). Pilot Selection in the Era of Virtual Reality:...
Illustration created by Midjourney with the prompt “a massive data center filled with GPUs and TPUs secifically designed for AI. Simply huge. –ar 16:9 –v 5.2” Large Language Models (LLMs) are transforming the way we interact with technology. These models, developed by leading tech comp...
The work presented in this paper examines the performance of two large pre-trained language models, T5 and GPT-3.5, in automatically generating problem-solving plans in the context of a game-based learning environment for middle school science education called Crystal Island. We define a plan as...
Researchers, educators and companies are experimenting with ways to turn flawed but famous large language models into trustworthy, accurate ‘thought partners’ for learning. By Andy Extance Twitter Facebook Email Despite risks, some educators see huge potential in using artificial-intelligence chatbots...
当地时间9月6日上午，学而思教育集团CTO田密在“数字学习周”主论坛以“基于LLM技术实现大规模的因材施教”为题进行了主题发言。在发言中，田密介绍了学而思MathGPT的最新情况，分享了学而思会如何利用LLM技术（Large Language Models）实现大规模个性化学习，并透露将在近期推出基于学而思MathGPT的产品级应用AI Tutor。...
On opportunities and challenges of large language models for education Learning and Individual Differences, 103 (2023), Article 102274, 10.1016/j.lindif.2023.102274 View PDFView articleView in ScopusGoogle Scholar Keller et al., 2020 S.D. Keller, J. Fleckenstein, M. Krüger, O. Köller, A...
向量数据库一般基于嵌入模型(Embedding Models)将文本向量化,从而来完成推理。前面提到Google发布的BERT模型和OpenAI发布的GPT模型都能提供嵌入(Embedding)计算的能力,但一般BERT系列模型相对于GPT系列模型会“小”很多,这体现在参数数量和磁盘占用上,可以说是“小模型”和“大模型”之分,在做向量计算时该如何选择呢?简单...
Title: Large Language Models for Education: Grading Open-Ended Questions Using ChatGPT 论文简介: 本研究由Zup Innovation公司和巴西联邦大学等单位合作,利用大型语言模型(LLMs)中的ChatGPT来支持技术培训中开放性问题的纠错过程。 Authors: Gustavo Pinto, Isadora Cardoso-Pereira, Danilo Monteiro Ribeiro, Danilo...