US 2026/0229026 A1 · Machine Learning Pipeline Architecture

Abstract

This disclosure provides methods, components, devices, and systems for optimizing deployment of project-specific machine learning models using interactive configurations. Some aspects, more specifically, relate to a method that supports an interactive interface for machine learning creation and implementation. A user interface is generated onto a display that includes selection fields associated with a machine learning project. From the selection fields, users can perform selections associated with a specific machine learning project. Once received, the method initiates the machine learning project and trains a machine learning model using annotated training data. Once trained, the machine learning model is integrated into a computing environment of a production system associated with the machine learning project. Additional features include generative pre-trained transformer (GPT) features allowing users to interact with an interface and receive technical specifics associated with the machine learning project.

Claims20

Dependent claims

A method of machine learning creation and implementation, the method comprising:

generating a user interface (UI) including selection fields associated with a machine learning project onto a display;
receiving, via the UI, selections from the selection fields associated with the machine learning project and machine learning model characteristics;
initializing the machine learning project based, at least partially, on the selections;
training a machine learning model associated with the machine learning project using training data;
and
integrating the machine learning model into a computing environment of a production system associated with the machine learning project.

3 more elements

A non-transitory computer readable storage medium including instructions stored thereon which, when executed by a processor, cause the processor to:

generate a user interface (UI) including selection fields associated with a machine learning project onto a display;
receive, via the UI, selections from the selection fields associated with the machine learning project and machine learning model characteristics;
initialize the machine learning project based, at least partially, on the selections;
train a machine learning model associated with the machine learning project using training data;
and
integrate the machine learning model into a production system associated with the machine learning project.

3 more elements

Dependencies are inferred from the claim text.

Machine Learning Pipeline Architecture

Life of this patent

Machine Learning Pipeline Architecture

Life of this patent

Abstract

Claims20