Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. (arXiv:2401.08664v1 [cs.AI])
![Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. (arXiv:2401.08664v1 [cs.AI])](https://cdn.hashnode.com/res/hashnode/image/upload/v1704026789016/QS9k8VMZb.jpg)
Online education platforms, leveraging the internet to distribute education resources, seek to provide convenient education but often fall short in real- time communication with students. They often struggle to offer personalized education resources due to the challenge of addressing the diverse obstacles students encounter throughout their learning journey. Recently, the emergence of large language models (LLMs), such as ChatGPT, offers the possibility for resolving this issue by comprehending individual requests. Although LLMs have been successful in various fields, creating an LLM-based education system is still challenging for the wide range of educational skills required. This paper reviews the recently emerged LLM
