Leveraging language models for prudential supervision

15 May 2024

Adam Muhtar and Dragos Gorduza Imagine a world where machines can assist humans in navigating across complex financial rules. What was once far-fetched is rapidly becoming reality, particularly with the emergence of a class of deep learning models based on the Transformer architecture (Vaswani et al (2017)), representing a whole new paradigm to language modelling … Continue reading Leveraging language models for prudential supervision →
artificial intelligence information retrieval prudential supervision deep learning transformer new methodologies natural language understanding domain adaption large language models

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BankUnderground

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United Kingdom
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