Loading Now

Summary of Can Ai Help with Your Personal Finances?, by Oudom Hean et al.


Can AI Help with Your Personal Finances?

by Oudom Hean, Utsha Saha, Binita Saha

First submitted to arxiv on: 27 Dec 2024

Categories

  • Main: Artificial Intelligence (cs.AI)
  • Secondary: Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG); General Economics (econ.GN)

     Abstract of paper      PDF of paper


GrooveSquid.com Paper Summaries

GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!

Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
This paper investigates the potential of Large Language Models (LLMs) in addressing key challenges in personal finance, focusing on the United States. The authors evaluate leading LLMs, including ChatGPT, Gemini, Claude, and Llama, to assess their effectiveness in providing accurate financial advice on topics such as mortgages, taxes, loans, and investments. The study finds that these models achieve an average accuracy rate of approximately 70%, but also display notable limitations in certain areas. Specifically, they struggle with complex financial queries, with performance varying significantly across different topics. Despite these limitations, the analysis reveals improvements in newer versions of these models, highlighting their growing utility for individuals and financial advisors.
Low GrooveSquid.com (original content) Low Difficulty Summary
This paper looks at how artificial intelligence (AI) can help people make smart decisions about money. The researchers test some advanced AI systems that can understand and generate human language to see if they can provide good advice on things like buying a house, paying taxes, or investing in stocks. They find that these AI systems are pretty good, with an average accuracy rate of 70%. However, they’re not perfect and struggle with tricky financial questions. The researchers think that these AI systems have the potential to be really helpful for people who need advice on personal finance.

Keywords

» Artificial intelligence  » Claude  » Gemini  » Llama