US 11,599,813 B1Granted

Interactive workflow generation for machine learning lifecycle management

AssigneeAmazon Technologies, Inc.

InventorsFei Yuan, Shuye Huang

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Abstract

Methods, systems, and computer-readable media for interactive workflow generation for machine learning lifecycle management are disclosed. A machine learning management system determines one or more prompts associated with use of a machine learning model. Input representing one or more responses to the one or more prompts is received. The one or more responses are provided via a user interface. The machine learning management system determines one or more workflows associated with the machine learning model. The workflow(s) are determined based at least in part on the one or more responses. The workflow(s) comprise a plurality of tasks associated with use of the machine learning model at a plurality of stages of a lifecycle of the model. One or more computing resources are determined, and at least a portion of the workflow(s) is performed using the one or more computing resources.

Claims20

Dependent claims

A system, comprising:

one or more pools of computing resources in a multi-tenant provider network;
and
one or more computing devices, comprising one or more processors and associated memory, configured to implement a machine learning management system, wherein the machine learning management system is configured to:
determine one or more questions associated with use of a machine learning model, wherein the one or more questions are determined based at least in part on one or more workflow templates, and wherein the one or more questions are displayed via a user interface;
receive input representing one or more answers to the one or more questions, wherein the one or more answers are provided via the user interface;
determine one or more workflows associated with a plurality of stages of a lifecycle of the machine learning model, wherein the one or more workflows are determined based at least in part on the one or more answers, and wherein the one or more workflows comprise one or more tasks associated with training the machine learning model and one or more tasks associated with using the machine learning model to generate inferences;
provision a set of computing resources from the one or more pools of computing resources;
and
cause the set of computing resources to perform at least a portion of the one or more tasks associated with training the machine learning model and at least a portion of the one or more tasks associated with using the machine learning model to generate inferences.

6 more elements

A computer-implemented method, comprising:

determining, by a machine learning management system, one or more prompts associated with use of a machine learning model;
receiving input representing one or more responses to the one or more prompts, wherein the one or more responses are provided via a user interface;
determining, by the machine learning management system, one or more workflows associated with the machine learning model, wherein the one or more workflows are determined based at least in part on the one or more responses, and wherein the one or more workflows comprise one or more tasks associated with training the machine learning model, or a plurality of tasks associated with the use of the machine learning model at a plurality of stages of a lifecycle of the machine learning model;
provisioning one or more computing resources;
and
causing the one or more computing resources to perform at least a portion of the one or more workflows.

3 more elements

One or more non-transitory computer-readable storage media storing program instructions that, when executed on or across one or more processors, perform:

determining, by a machine learning management system, one or more questions associated with use of a machine learning model, wherein the one or more questions are determined based at least in part on one or more workflow templates;
receiving input representing one or more answers to the one or more questions, wherein the one or more answers are provided via a user interface;
determining, by the machine learning management system, a workflow associated with the machine learning model, wherein the workflow is determined based at least in part on the one or more answers, wherein the workflow comprises a plurality of tasks associated with the use of the machine learning model at a plurality of stages of a lifecycle of the machine learning model, and wherein the workflow comprises one or more tasks associated with training the machine learning model or one or more tasks associated with using the machine learning model to generate inferences;
provisioning one or more computing resources from a multi-tenant provider network;
and
causing the one or more computing recourses to implement at least a portion of the workflow.

3 more elements

Dependencies are inferred from the claim text.