Application of Large Language Models in Industry Historical Report Generation, Inference, and Explanation: A Literature Review
Abstract
strengths and challenges. The findings demonstrate that LLMs effectively integrate multi-source data, producing high-quality industry reports
while showing potential in inference and explanatory tasks. However, the models face challenges related to data dependency, interpretability,
multilingual capabilities, and ethical issues in practical applications. Future research directions include improving model architectures, enhancing data quality, increasing interpretability, and ensuring ethical compliance to advance the use of LLMs in industry report generation.
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DOI: http://dx.doi.org/10.70711/aitr.v2i4.4864
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