AI/ML Model Training Using Context Information in Wireless Networks
AssigneeApple Inc.
InventorsPing-Heng KUO, Ralf ROSSBACH
Life of this patent
Estimating the term…
Abstract
An artificial intelligence (AI) agent configured to collect a dataset for training an AI or machine learning (ML) (AI/ML) model, determine context information for the collected dataset, an AI/ML training method to be used, or a metric related to a trustworthiness of a previously trained AI/ML model and prior to either training the AI/ML model or reporting a trained AI/ML model, report the context information to an AI manager.
Claims20
A processor configured to execute an artificial intelligence (AI) agent to perform operations, comprising:
- collecting a dataset for training an AI or machine learning (ML) (AI/ML) model;
- determining context information for the collected dataset, an AI/ML training method to be used, or a metric related to a trustworthiness of a previously trained AI/ML model;
- and
- prior to either training the AI/ML model or reporting a trained AI/ML model, reporting the context information to an AI manager.
A processor configured to execute an artificial intelligence (AI) manager to perform operations, comprising:
- receiving, from an AI agent, context information for a dataset collected by the AI agent to train an AI or machine learning (ML) (AI/ML) model, an AI/ML training method to be used, or a metric related to a trustworthiness of a previously trained AI/ML model;
- determining, based on the context information, whether one or more criteria are satisfied and based on whether the criteria are satisfied;
- and
- generating, for transmission to the AI agent, a positive response or a negative response regarding whether to train the AI/ML model or report a trained AI/ML model.
Dependencies are inferred from the claim text.