Google patents method to make AI image analysis more consistent
This patent describes a technique for improving the reliability of machine-learned models when analyzing images. It involves generating multiple possible answers to an image query and using a consistency metric to select the most stable result.
In the filing’s own words
An example technique for image analysis is provided. An example image analysis method includes obtaining an instructive sequence descriptive of an instructive query, an instructive response, and an instructive trace of intermediate states from the instructive query to the instructive response. The example image analysis method includes inputting, to a machine-learned model, the instructive sequence and an operative image processing query that comprises image data, wherein the machine-learned model is configured to process the operative query with attention over the instructive sequence. The example method can include generating, using the machine-learned model and responsive to the operative query, an operative image processing response that comprises an analysis of the image data.
What exactly they claim (claim 1)
1. A computer-implemented method for increasing consistency of stochastic machine-learned model execution, the method comprising: providing, by a computing system comprising one or more processors, as input to a machine-learned model, a model input comprising an operative query; generating, by the computing system, a plurality of operative responses to the operative query, the plurality of operative responses based on a plurality of sampled outputs sampled, based on a probability distribution of outputs, from an output layer of the machine-learned model; determining, by the computing system, a consistency metric based on the plurality of operative responses; and generating, by the computing system, an operative response based on the consistency metric.
Facts
- Company
- Google (Google LLC)
- Official title
- Image analysis by prompting of machine-learned models using chain of thought
- Patent number
- US12737648B2
- Application number
- 19219678
- Filed
- May 27, 2025
- Granted
- Sep 15, 2026
- Inventors
- 24
- Claims
- 20
Classified under
G06N 5/022 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.