Summary of Opportunities and Challenges Of Generative-ai in Finance, by Akshar Prabhu Desai et al.
Opportunities and Challenges of Generative-AI in Finance
by Akshar Prabhu Desai, Ganesh Satish Mallya, Mohammad Luqman, Tejasvi Ravi, Nithya Kota, Pranjul Yadav
First submitted to arxiv on: 21 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 abstract presents Gen-AI techniques capable of enhancing language modeling, translation, handling large datasets, providing fast responses, and being fine-tuned for various tasks. In this manuscript, a comprehensive overview is provided on Gen-AI applications in the finance domain. Opportunities and challenges are discussed, along with methodologies for training Gen-AI models and application areas within the finance ecosystem. This work aims to summarize Gen-AI techniques in the financial domain, identifying areas for advancement and prioritization. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Gen-AI techniques can improve language understanding, translation, and data handling. In this paper, experts explore how these technologies can be used in finance. They discuss opportunities and challenges, as well as ways to train these models. The authors also show which applications of Gen-AI are most promising for the financial industry. |
Keywords
» Artificial intelligence » Language understanding » Translation
