When applied to the ChatGLM2-6B model, the industrial retrieval-augmented generation (RAG) method increased question-answering accuracy from 50.52% to 73.92%.

Authors

• Person: Ronghui Liu, Hao Ren, Haojie Ren, Wu Rui, Wei Cui, Xiaojun Liang, Chunhua Yang, Weihua Gui Organization: Not available
  Knowledge Enhanced Industrial Question-Answering Using Large ...

Sources

• Knowledge Enhanced Industrial Question-Answering Using Large ... www.engineering.org.cn Ronghui Liu, Hao Ren, Haojie Ren, Wu Rui, Wei Cui, Xiaojun Liang, Chunhua Yang, Weihua Gui via serper

Referenced by nodes (1)

• RAG concept