Campus question-answering system based on intent recognition and retrieval-augmented generation

To address the issues of poor information integration and generalization in traditional campus question-answering systems, a campus question-answering system based on a large language model was designed. The fine-tuned model identified user intents and provided targeted solutions for various types o...

Celý popis

Podrobná bibliografie

Hlavní autoři:	TANG Bowen, MA Mingxuan, ZHANG Yining, LI Hourun, WEN Feifan, WANG Dabin, YANG Jia, MA Hao
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Department of Journal on Communications 2024-11-01
Edice:	Tongxin xuebao
Témata:	LLM RAG supervised fine-tuning intent recognition
On-line přístup:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024245/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!