/Processing Event Data And/or Tabular Data For Input To One Or More Machine Learning Models
Abstract

Aspects described herein may relate to techniques and/or methods that process certain forms of event data and/or tabular data for input to one or more machine learning models, such as a large language model. Additional aspects may relate to using the output of a large language model as part of a process for detecting fraud based on the event data and/or tabular data. In some variations, the event data and/or tabular data may be processed into data tokens, embeddings, or other forms of data suitable for use as input to a large language model.

Full Text

What is claimed is:

Aspects described herein may relate to techniques and/or methods that process certain forms of event data and/or tabular data for input to one or more machine learning models, such as a large language model. Additional aspects may relate to using the output of a large language model as part of a process for detecting fraud based on the event data and/or tabular data. In some variations, the event data and/or tabular data may be processed into data tokens, embeddings, or other forms of data suitable for use as input to a large language model.
Timeline
Filed
03/19/2026
Published
07/23/2026
Granted
Not Available
IPC Codes(3)
G06F 40/284:Lexical analysis, e.g. tokenisation or collocates
G06F 40/40:Processing or translation of natural language (natural language analysis G06F 40/20; semantic analysis G06F 40/30)
G06Q 20/40:Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists