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              <text>Charting the Future of Fintech: Unveiling Finoracle through an In-depth Comparison of LLAMA 2, FLAN, and GPT-3.5</text>
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              <text>Artificial Intelligence (AI); Financial Technology (Fintech); Large Language Models (LLMs); Text Summarization</text>
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              <text>The research paper compares three Large Language Models (LLMs): LLAMA 2, FLAN, and GPT-3.5, in summarizing financial technology (fintech) news. Using 100 articles and the Rouge scoring system, it focuses on LLAMA 2's superior performance in creating concise and precise summaries. The study also introduces FinSage, a new framework utilizing LLAMA 2, promising to enhance fintech text analysis and decision-making. It concludes that LLAMA 2 sets a new standard for AI in financial data processing and analysis.   2024 IEEE.</text>
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              <text>Kumari S.; Mahajan J.; Jain P.; Panikulangara L.; Kulkarni S.; Saxena A.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545266" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545266&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Kumari S., Christ University, Bengaluru, India; Mahajan J., Christ University, Bengaluru, India; Jain P., Christ University, Bengaluru, India; Panikulangara L., Synechron, India; Kulkarni S., Ibm, India; Saxena A., Christ University, Bengaluru, India</text>
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