Enhancing Trade-Based Money Laundering Detection: Retrieval-Augmented Generation and Semantic Search Technologies

Start
This article explores the application of retrieval-augmented generation combined with semantic search technologies in the detection of trade-based money laundering (TBML). Retrieval-augmented generation combined with semantic search technologies in the detection of trade-based money laundering (TBML) is a sophisticated approach that leverages both natural language processing (NLP) and machine learning techniques to combat financial crimes….
By: Womble Bond Dickinson
Previous Story

CFTC Sharpens Focus on Artificial Intelligence with Appointment of Chief Artificial Intelligence Officer

Next Story

Novartis Pharms. Corp. v. Mylan Pharms. Inc. – Entresto┬« (Sacubitril/Valsartan)