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NvidiaGranted patentAI & softwareInterest 6/10

Nvidia patents image-to-text system using multiple specialized AI models

Nvidia describes a vision-language model that combines several smaller, specialized neural networks, or experts, instead of one massive network. Each expert focuses on a specific task, and the system uses a process called cross-attention to turn their variable-length outputs into a fixed format that a language decoder can use to describe an image.

Why it mattersThis approach could make training complex AI systems more efficient by allowing different parts of the model to handle specific tasks independently rather than forcing one giant network to learn everything at once.

In the filing’s own words

A vision-language model learns skills and domain knowledge via distinct and separate task-specific neural networks, referred to as experts. Each expert is independently optimized for a specific task, facilitating the use of domain-specific data and architectures that are not feasible with a single large neural network trained for multiple tasks. The vision-language model implemented as an ensemble of pre-trained experts and is more efficiently trained compared with the single large neural network. During training, the vision-language model integrates specialized skills and domain knowledge, rather than trying to simultaneously learn multiple tasks, resulting in effective multi-modal learning.

What exactly they claim (claim 1)

1. A computer-implemented method, comprising: receiving multi-modal labels corresponding to an image, wherein the multi-modal labels are variable-length and are generated by two or more pre-trained domain-specific neural network models; mapping the multi-modal labels to a fixed length sequence of multi-modal features using cross-attention between a pre-defined number of learned latent queries and embeddings of the multi-modal labels; processing the image and the fixed length sequence of multi-modal features by a vision encoder and language decoder to predict text corresponding to the image; and providing the predicted text to a device for presentation to a user.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
Vision-language model with an ensemble of experts
Patent number
US12743879B2
Application number
18544840
Filed
Dec 19, 2023
Granted
Sep 22, 2026
Inventors
5
Claims
21

Classified under

G06V 10/82 Physics & computingG06V 10/811 Physics & computing

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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.