議題
講者將介紹一個基於大型語言模型的數位孿生框架 (LLMTwins)，目標在為偏鄉地方創生專案計算社會影響力而打造的軟體框架。演講將深入探討該框架的技術細節，同時分享幾個實際案例，以展示其在偏鄉實踐中的應用與效果。
講者
黃俊毓
小鎮智能股份有限公司 - 執行長 專長為資料科學、ESG 領域以及大語言模型相關應用
講者
Yun-Cheng Tsai (Pecu)
Yun-Cheng Tsai (Pecu), based at National Taiwan Normal University, is a prominent researcher with interests spanning Data Science, FinTech, LawTech, EduTech, and Blockchain. With a comprehensive citation count of 288 and a significant surge in citations since 2019, Tsai's work showcases a robust engagement with cutting-edge technologies and methodologies. They have contributed extensively to the fields of educational technology and blockchain through innovative research. Notable works include leveraging educational big data for active learning, introducing blockchain and NFTs to young learners in an accessible manner, and improving financial trading models' explainability. Tsai's research, characterized by a blend of interdisciplinary approaches and practical applications, has led to an impressive H-index of 8, reflecting their impactful contributions to both academia and industry. Their collaborations with various scholars, including those from National Taiwan University and other prestigious institutions, highlight a vibrant academic network and a commitment to advancing knowledge and technology for societal benefit.