Large Language Models for Revolutionizing Credit Risk Assessment in Finance
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Discover how Large Language Models (LLMs) are transforming credit risk assessment in this 32-minute conference talk from the Toronto Machine Learning Series. Join Wealthsimple's Data Science Manager Josh Peters and ML Researcher Kiarash Shamsi as they explore the integration of LLMs in finance, focusing on enhanced risk assessment accuracy, alternative data utilization, and credit process automation. Gain practical insights through real-world case studies, understand the challenges and ethical implications of implementing LLMs in financial services, and learn about future developments in credit risk assessment technology. Engage in discussions about the potential impact of LLMs on revolutionizing traditional financial assessment methods through an interactive Q&A session.
Syllabus
LLMs for Revolutionizing Credit Risk Assessment
Taught by
Toronto Machine Learning Series (TMLS)