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SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model

13 August 2024
Dayong Wu
Jiaqi Li
Baoxin Wang
Honghong Zhao
Siyuan Xue
Yanjie Yang
Zhijun Chang
Rui Zhang
Li Qian
Bo Wang
Shijin Wang
Zhixiong Zhang
Guoping Hu
    RALM
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Abstract

Large language models (LLMs) have shown remarkable achievements across various language tasks.To enhance the performance of LLMs in scientific literature services, we developed the scientific literature LLM (SciLit-LLM) through pre-training and supervised fine-tuning on scientific literature, building upon the iFLYTEK Spark LLM. Furthermore, we present a knowledge service system Spark Research Assistant (SparkRA) based on our SciLit-LLM. SparkRA is accessible online and provides three primary functions: literature investigation, paper reading, and academic writing. As of July 30, 2024, SparkRA has garnered over 50,000 registered users, with a total usage count exceeding 1.3 million.

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