Summary of Fintral: a Family Of Gpt-4 Level Multimodal Financial Large Language Models, by Gagan Bhatia et al.
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models
by Gagan Bhatia, El Moatez Billah Nagoudi, Hasan Cavusoglu, Muhammad Abdul-Mageed
First submitted to arxiv on: 16 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 This paper introduces FinTral, a suite of advanced large language models (LLMs) tailored for financial analysis. Built upon the Mistral-7b model, FinTral integrates various data formats, including textual, numerical, tabular, and image data. To enhance its capabilities, the authors employ domain-specific pretraining, instruction fine-tuning, and RLAIF training using a curated dataset collection. A comprehensive benchmark featuring nine tasks and 25 datasets is introduced for evaluation, including hallucinations in the financial domain. Notably, the FinTral-DPO-T&R model demonstrates exceptional zero-shot performance, outperforming ChatGPT-3.5 and GPT-4 in several tasks, marking a significant advancement in AI-driven financial technology. The authors also demonstrate FinTral’s potential for real-time analysis and decision-making in diverse financial contexts. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research paper introduces a new tool called FinTral that helps analyze financial data better. It can understand and work with different types of information, like words, numbers, tables, and pictures. The team created this tool by using lots of financial data and teaching it specific skills for analyzing money-related things. They tested FinTral on many tasks and found that it did really well, even without being trained specifically for each task. This is important because it means FinTral can help make decisions quickly and accurately in different financial situations. |
Keywords
» Artificial intelligence » Fine tuning » Gpt » Pretraining » Zero shot
