Google patents AI system that creates specialized models from general ones
Google describes a method where an AI system takes the settings from a broad, general-purpose machine learning model and uses them to build a more specific model for a lower level of detail. The system then adjusts the new model's settings so they are unique to that specific task and cannot be shared back with the original general model.
In the filing’s own words
One example method includes obtaining, by an artificial intelligence (AI) system, first model parameters associated with a first machine learning model at a first hierarchical layer; generating, by the AI system, a second machine learning model including the first model parameters, the second machine learning model at a second hierarchical layer beneath the first hierarchical layer; and refining, by the AI system, the second machine learning model to obtain an updated second machine learning model including second model parameters, where the first model parameters and the second model parameters have different value for at least one model parameter, and the second model parameters are unshareable with the first machine learning model.
What exactly they claim (claim 1)
1. A computer-implemented method, comprising: obtaining, by an artificial intelligence (AI) system, first model parameters associated with a first machine learning model at a first hierarchical layer; generating, by the AI system, a second machine learning model comprising the first model parameters, the second machine learning model at a second hierarchical layer beneath the first hierarchical layer; and refining, by the AI system, the second machine learning model to obtain an updated second machine learning model comprising second model parameters, wherein the first model parameters and the second model parameters have different value for at least one model parameter, and the second model parameters are unshareable with the first machine learning model.
Facts
- Company
- Google (Google LLC)
- Official title
- GENERATING DIGITAL COMPONENTS USING CUSTOMIZED MACHINE LEARNING MODELS
- Publication number
- US20260320471A1
- Application number
- 18860266
- Filed
- Nov 21, 2023
- Published
- Oct 15, 2026
- Inventors
- 3
- Claims
- 20
Classified under
G06N 20/00 Physics & computingMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.