Investigation of LLMs for Financial Use Cases
The advent of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP), unlocking unprecedented capabilities in understanding and generating human language.
In this talk we will delve into the intriguing intersection of LLMs and the complex world of financial applications, with a specific focus on the exploration of causality. Financial markets and economic systems are intricately interconnected, often driven by a web of causal relationships that can be challenging to unravel.
Traditional approaches to causality in finance have relied heavily on structured data and domain-specific models, leaving unexplored opportunities for harnessing the power of LLMs.
In this session, we embark on a journey to uncover the potential and challenges of various LLMs in deciphering causal relationships within financial contexts.
Neelesh Shukla
Senior Manager – Principal AI Scientist at State Street Corporation
Neelesh is current working as Principal Scientist at State Street. He leads the AI Research and Innovation for Financial Use cases.
His primary research area is NLP, FinNLP, Visual NLP and LLMs.
