Summary of Finteamexperts: Role Specialized Moes For Financial Analysis, by Yue Yu et al.
FinTeamExperts: Role Specialized MOEs For Financial Analysis
by Yue Yu, Prayag Tiwari
First submitted to arxiv on: 28 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces FinTeamExperts, a novel Large Language Model (LLM) framework designed to excel in financial analysis tasks. By structuring a mixture of expert LLMs as a Mixture of Experts (MOEs), the authors simulate a collaborative team setting where each model specializes in distinct roles: Macro Analysts, Micro analysts, and Quantitative Analysts. This role-specific specialization enables the models to integrate their domain-specific expertise, leading to improved performance on financial analysis tasks. The framework is trained on three different corpora, each dedicated to excelling in specific finance-related roles. Experimental results show that FinTeamExperts outperform larger models on most datasets, highlighting the success of the proposed approach. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper introduces a new type of AI model called FinTeamExperts. These models are designed to help with financial tasks like analyzing data and making predictions. The authors use a special way of training the models called Mixture of Experts (MOEs), which lets each model focus on specific areas, like looking at big picture trends or detailed numbers. This helps the models work together better and make more accurate predictions. The models are trained on different types of financial data and can do tasks like predicting stock prices or analyzing economic trends. The results show that FinTeamExperts can do these tasks better than other models. |
Keywords
» Artificial intelligence » Large language model » Mixture of experts
