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Per our Data-Driven VC Landscape 2024, 2 out of 3 DDVC firms already use LLMs across their value chain. While our survey included some high-level applications such as Screening and Due Diligence, Sourcing, or Reporting, many of you asked for more specific use cases.
Today, I’m really excited to share a paper that I came across last night, providing a great overview of more detailed LLM applications across Finance and Investing. It’s written by a group of researchers from Princeton (Yuqi Nie, John M. Mulvey, H. Vincent Poor), Oxford (Yaxuan Kong, Xiaowen Dong, Stefan Zohren), and Squirrel AI (Qingsong Wen).
Fig. 1. An overview of our paper structure, focusing on models, applications, data, code and benchmarks, and challenges and opportunities (taken from paper)
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