Optimization and application of vision-based large models in educational scenarios
With the rapid advancement of artificial intelligence technology, LLMs have achieved significant success across various fields. However, their application in the field of education domain still faces challenges such as difficulties in processing multimodal data, insufficient response accuracy, and l...
Saved in:
| Main Authors: | XU Yuepeng, XU Chaidi, GUO Jinjun, JIANG Yunqiao, WANG Shijia, LIU Yao |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2025-01-01
|
| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/zh/article/111999691/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Swamped with Too Many Articles? GraphRAG Makes Getting Started Easy
by: Joëd Ngangmeni, et al.
Published: (2025-03-01) -
Enhancing Environmental Control in Broiler Production: Retrieval-Augmented Generation for Improved Decision-Making with Large Language Models
by: Marcus Vinicius Leite, et al.
Published: (2025-01-01) -
Large language models for closed-library multi-document query, test generation, and evaluation
by: Claire Randolph, et al.
Published: (2025-08-01) -
Dual retrieving and ranking medical large language model with retrieval augmented generation
by: Qimin Yang, et al.
Published: (2025-05-01) -
When Multimodal Large Language Models Meet Computer Vision: Progressive GPT Fine-Tuning and Stress Testing
by: Konstantinos I. Roumeliotis, et al.
Published: (2025-01-01)