Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training

Battle Count: 76

The model shows potential for improving financial text analysis and information extraction, which could be valuable for quantitative trading strategies.

The paper provides detailed methodology, but implementing and tuning large language models requires significant computational resources and expertise.

The paper provides detailed information on the methodology, datasets, and evaluation process. The tuned model is publicly available on Hugging Face.