The article presents an interview exploring the intricacies of applying transformer models to fraud detection using textual data.
The candidate discusses specific challenges such as deliberate data obfuscation by fraudsters and the scarcity of representative labeled examples.
To mitigate overfitting while preserving subtle fra…
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