最新消息 活動預告
7月 2026
(星期三)
在金融業展示在地化的LLM與聊天機器人和檢索增強生成(RAG)技術 (2026 年7月29日)
- 相關學科
- 金融科技及金融分析
- 日期及時間
- 2026年7月29日 (星期三)13:00 - 13:45
- 費用
- 免費
- 講者
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- Mr Ivan Law
Mr Ivan Law
Mr Ivan Law brings over two decades of combined experience in education, applied data science, and the finance industry, with a proven track record of empowering learners to master in-demand technical skills. Holding a BEng in Computer Science from HKUST and an MSc in Financial Management from the University of London, Ivan leverages his interdisciplinary background to make complex data science concepts accessible to students from diverse academic and professional backgrounds. As a part-time lecturer at CityU SCOPE, he has delivered over 2,100 instructional hours across 8 cohorts of adult learners, specializing in Python, Pandas, NumPy, data visualization (Matplotlib/Seaborn/Plotly), and AI/ML foundations. Rooted in rigorous project-based learning, his teaching philosophy prioritizes clarity, practical application, and active engagement. He designs interactive exercises and real-world projects to help learners translate theoretical concepts into actionable skills that meet workplace needs. Complementing his teaching practice is 18+ years of experience in senior roles across the banking and hedge fund industry, where he led teams in operations, risk management, and compliance at both local and US-based hedge fund firms. Serving as Director, Ivan now designs and delivers professional data science training and deploys AI/ML pipelines for SMEs. This hands-on, up-to-date experience building industry-ready solutions ensures his teaching curricula remain current with the latest tools and market demands, which further strengthens his ability to connect analytical rigor with business insights.
- 查詢
- 2867 8331 (finedec@hkuspace.hku.hk)
- 相關課程
- 更多相關課程
演講者將運用開源軟體框架 LangChain、Ollama 和 Hugging Face,以及離線大型語言模型(例如 Gemma 4、Qwen 3.5 等本地 LLM),展示聊天機器人(Chatbot)程式碼。並利用檢索增強生成(Retrieval-Augmented Generation, RAG)程式碼,展示支援資料更新的私有化部署。將私有財務資料(例如財務報表、年度報告、交易記錄和投資文件的 PDF 檔案)匯入向量資料庫,以實現私有財務資料的高效整合與更新,以及智能資料檢索與搜尋。