US 2026/0030541 A1 · ADAPTIVE ARTIFICIAL INTELLIGENCE MODEL FRAMEWORK

Abstract

Methods and systems are presented for providing an artificial intelligence (AI) model framework that uses an AI model to assist a machine learning (ML) model in classifying data, such that data corresponding to emerging patterns unrecognizable by the ML model can be classified accurately. Emerging patterns that are not recognizable by the ML model are detected. Representations of the emerging patterns are generated and provided to the AI model along with data to be classified in a prompt. The AI model is configured to use the ML model to classify the data if the data does not correspond to the emerging pattern. The AI model is further configured to use the representations to classify the data without using the ML model if the data corresponds to the emerging pattern.

Claims20

Dependent claims

A system comprising:

a non-transitory memory;
and
one or more hardware processors coupled with the non-transitory memory and configured to execute instructions from the non-transitory memory to cause the system to:
receive, from a user device, a request to process a first transaction through a service provider;
access (i) first data related to the first transaction and (ii) second data representing a first transaction pattern, the second data generated based on a plurality of second transactions conducted through the service provider;
generate embeddings representing the plurality of second transactions based on the second data;
generate a prompt for an artificial intelligence (AI) model based on the request, the first data related to the first transaction, and the embeddings;
and
obtain a response from the AI model based on the prompt, wherein the response indicates a classification of the first transaction.

6 more elements

A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

receiving a request to process a first transaction initiated from a user device;
obtaining data related to the first transaction based on the request;
accessing a representation of a transaction pattern unrecognizable by a machine learning (ML) model, wherein the ML model is configured to classify transactions, and wherein the representation is generated based on a plurality of second transactions associated with the transaction pattern;
generating a prompt for an artificial intelligence (AI) model based on the request, the data related to the first transaction, and the representation of the transaction pattern, wherein the AI model is communicatively coupled with the ML model and configured to assist the ML model in classifying the first transaction based on the prompt;
and
obtaining a response from the AI model, wherein the response indicates a classification of the first transaction.

3 more elements

Dependencies are inferred from the claim text.

Adaptive artificial intelligence model framework

Life of this patent

Adaptive artificial intelligence model framework

Life of this patent

Abstract

Claims20