| Proj No. | A1062-251 |
| Title | LLM-based Personalized learning |
| Summary | The rapid advancement of artificial intelligence (AI) has opened new frontiers in education. Large Language Models (LLMs) present a unique opportunity to personalize learning by adapting to individual student needs, providing real-time feedback, and facilitating interactive learning experiences. This proposal aims to explore optimization of prompts to achieve LLM-based personalized learning. |
| Supervisor | A/P Mao Kezhi (Loc:S2 > S2 B2C > S2 B2C 84, Ext: +65 67904284) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Internet of Things Laboratory (Loc: S1-B4c-14, ext: 5470/5475) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |