US 2017/0364832 A1 · SYSTEMS AND METHODS FOR REAL-TIME MACHINE LEARNING MODEL TRAINING

Abstract

Systems and methods for automated evaluation system routing are described herein. The system can include a memory, which can include a model database and a correlation database. The system can include a first user device and a second user device. The system can include at least one server. The at least one server can: receive a response communication from the user device; generate an initial evaluation value according to an AI model; determine a correlation between the initial evaluation value and evaluation range data; accept the initial evaluation value when the correlation exceeds a threshold value; and route the response communication to the second user device for generation of an elevated evaluation value when the correlation does not exceed the threshold value.

Claims18

Dependent claims

A system for training of an AI model, the system comprising:

memory comprising:
a model database comprising a model for generating an evaluation value based on at least one computer-generated parameter of a response;
a first user device comprising:
a network interface configured to exchange data via the communication network;
and
an I/O subsystem configured to convert electrical signals to user interpretable outputs via a user interface;
and
at least one server configured to:
receive an evaluated response communication comprising a response and an evaluation from the first user device;
train the AI model in real-time with the received evaluated response communication;
determine completion of the training of the AI model;
and
update a model status identifier when the AI model is trained.

10 more elements

Dependencies are inferred from the claim text.

Systems and methods for real-time machine learning model training

Life of this patent

Systems and methods for real-time machine learning model training

Life of this patent

Abstract

Claims18