A Survey of Large Language Models for Financial Applications: Progress, Prospects, and Challenges

Todays discussion examines the application of Large Language Models (LLMs) in the financial sector. This episode discusses a wide variety of topics, including the types of LLMs being used, their strengths and weaknesses, various applications like sentiment analysis and forecasting, and the challenges and opportunities associated with their use. We also look at how the author analyses a wide array of existing research, highlighting key applications and future directions for LLMs in finance.

Find the Document Here: https://arxiv.org/pdf/2406.11903

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