Google patents method for building AI models in layers
Google describes a way to create new machine learning models by taking the settings from an existing model and adjusting them for a specific level in a stacked structure. The process involves refining these settings to create a new model that sits below the original one, sharing certain characteristics with it.
In the filing’s own words
One example method includes obtaining, by an artificial intelligence (AI) system, first model parameters of a first machine learning model; generating a second machine learning model based on the first model parameters, the second machine learning model being at a given hierarchical layer of a hierarchical model structure; refining 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 a different value for at least one model parameter; and generating, by the AI system, a third machine learning model based on the second model parameters, wherein (i) the third machine learning model is at a lower hierarchical layer of the hierarchical model structure beneath the given hierarchical layer of the second machine learning model, and (ii) the second machine learning model and the third machine learning model have a first common attribute.
What exactly they claim (claim 1)
1. A computer-implemented method, comprising: obtaining, by an artificial intelligence (AI) system, first model parameters of a first machine learning model; generating, by the AI system, a second machine learning model based on the first model parameters, the second machine learning model being at a given hierarchical layer of a hierarchical model structure; 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 a different value for at least one model parameter; and generating, by the AI system, a third machine learning model based on the second model parameters, wherein (i) the third machine learning model is at a lower hierarchical layer of the hierarchical model structure beneath the given hierarchical layer of the second machine learning model, and (ii) the second machine learning model and the third machine learning model have a first common attribute.
Facts
- Company
- Google (Google LLC)
- Official title
- GENERATING DIGITAL COMPONENTS USING CUSTOMIZED MACHINE LEARNING MODELS
- Publication number
- US20260320472A1
- Application number
- 18861480
- Filed
- Nov 21, 2023
- Published
- Oct 15, 2026
- Inventors
- 2
- 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.