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Pretraining and Updating Language- and Domain-specific Large Language Model: A Case Study in Japanese Business Domain
April 15, 2024, 4:46 a.m. | Kosuke Takahashi, Takahiro Omi, Kosuke Arima, Tatsuya Ishigaki
cs.CL updates on arXiv.org arxiv.org
Abstract: Several previous studies have considered language- and domain-specific large language models (LLMs) as separate topics. This study explores the combination of a non-English language and a high-demand industry domain, focusing on a Japanese business-specific LLM. This type of a model requires expertise in the business domain, strong language skills, and regular updates of its knowledge. We trained a 13-billion-parameter LLM from scratch using a new dataset of business texts and patents, and continually pretrained it …
abstract arxiv business case case study combination cs.ai cs.cl demand domain english english language industry japanese language language model language models large language large language model large language models llm llms pretraining studies study topics type
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