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29
Jul 2026
(Wed)

Showcase the Localized LLM with Chatbot and Retrieval-Augmented Generation (RAG) in Finance Industry (29 Jul 2026)

Subject
FinTech and Financial Analytics
Print
Date & time
29Jul 2026 (Wed)13:00 - 13:45
Fee
Free
Speaker
  • 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.

REGISTER (ONLINE ATTENDANCE)
Enquiry
2867 8331 (finedec@hkuspace.hku.hk)
Relevant Programmes
Postgraduate Diploma in FinTech and Legal Regulations Postgraduate Diploma in Financial Analytics and Algo Trading Postgraduate Diploma in Finance and Data Analytics Certificate for Module (Digital Finance and Automation) Certificate for Module (Applications of LLMs and RAG Systems in Investment Analysis)
moreRelevant Programmes

Using open-source frameworks such as LangChain, Ollama, and Hugging Face, along with offline large language models (e.g., local LLMs like Gemma 4, Qwen 3.5, etc.), demonstrate chatbot program code.

Utilize Retrieval-Augmented Generation (RAG) code to showcase a privatized deployment that supports data updates. Import private financial data (such as PDF files of financial statements, annual reports, transaction records, and investment documents) into a vector database to achieve efficient integration and updating of private financial data, as well as intelligent data retrieval and search.