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S7 E7: What Large Language Models Mean for the Future of Fintech, with Rohan Ramanath of Hyperplane
Fintech Takes
Focused Training and Model Generalization in Financial Industry
By constraining the input and output space, there's no need for a massive model trained on all internet data. A more focused approach on the data that a bank has can lead to better results and improved generalization across tasks. Decoupling feature representation from the financial perspective allows for the creation of proprietary architectures or encoders for financial data. These models can be deployed within a bank's infrastructure, ensuring sensitive data never leaves the system while still enabling the learning of rich user representations for better product recommendations.
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