天輝ちゃん爆誕！TCM（漢方）LLMだよ☆
最強の漢方AI「TianHui」爆誕！論文をギャル流に解説するね💕
✨ ギャル的キラキラポイント ✨ ● 漢方（TCM）特化のAIで、専門家も大助かり💖 ● 論文とかムズいけど、TianHuiは簡単に情報くれるよ！ ● 研究だけじゃなく、ビジネスにも役立つ未来型AI✨
詳細解説いくよ～！
背景 漢方って奥深いけど、情報探し大変じゃん？ でも、TianHuiはコンテキストデータ（文脈情報）と知識をガッチャンコして、TCM（Traditional Chinese Medicine：伝統中国医学）に特化したLLM（大規模言語モデル）を作ったんだって！ 研究に役立つのはもちろん、AIで漢方を活用する未来が来るかも！
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TianHui: A Domain-Specific Large Language Model for Diverse Traditional Chinese Medicine Scenarios
Domain-specific LLMs in TCM face limitations in research settings due to constrained adaptability, insufficient evaluation datasets, and limited computational resources. This study presents TianHui, a specialized TCM LLM built through contextual data integration and domain knowledge fusion. We constructed a large-scale TCM corpus (0.97GB unsupervised data + 611,312 QA pairs) and employed a two-stage training strategy with QLoRA, DeepSpeed Stage 2, and Flash Attention 2. Evaluation on 12 benchmarks showed TianHui ranked top-three in all metrics for six datasets (APQ, TCMCD, HFR, HCCA, DHPE, TLAW) and achieved top results in the other six (TCMEE, APR, GCPMI, TCMKQA, TCMRC, ADTG). Optimal configuration was identified as LoRA rank=128, alpha=256, epoch=4, dropout=0.2, max length=2048. TianHui enables systematic preservation and scalable application of TCM knowledge. All resources are open-sourced.