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Amazon patents system that picks the right AI model for your request

Patent drawing
Patent drawing from the official filing.

Amazon has filed a patent for a routing system that decides which specific AI model should handle a user's request. It uses a smaller AI to estimate factors like cost, speed, and output size before sending the task to the best-fit model.

Why it mattersThis could make using multiple AI services more efficient by automatically choosing the most cost-effective or fastest option for each specific task.

In the filing’s own words

A user of a machine learning model service may lack information about the suitability of particular generative machine learning models for particular tasks. The user may benefit from a machine learning model router that outputs intelligent decisions on which generative machine learning model is more suitable than other generative machine learning models for a particular prompt with respect to known or unknown hardware and process constraints. Suitability may be based on a variety of factors, such as quality of the model for the particular prompt, expected resource expenditure for the particular prompt such as cost or latency, and other factors such as which computing device or devices hosts the generative machine learning model.

What exactly they claim (claim 1)

1. A system, comprising: one or more computing devices configured to: receive a generative machine learning model prompt which is to be processed by at least one of a set of generative machine learning models, wherein the set of generative machine learning models comprises more than two generative machine learning models; estimate consideration factors, using at least one estimator machine learning model which uses a prompt embedding and a set of model identity embeddings which correspond with respective ones of the set of generative machine learning models, wherein: the consideration factors are based on the generative machine learning model prompt; and at least one of the consideration factors is based on an estimated amount of output that will be generated by a given one of the set of generative machine learning models; select, using the consideration factors, the at least one of the set of generative machine learning models; and route the generative machine learning model prompt to the selected at least one of the set of generative machine learning models.

Facts

Company
Amazon (Amazon Technologies, Inc.)
Official title
INTELLIGENT PROMPT ROUTING ACROSS MACHINE LEARNING MODELS
Publication number
US20260300841A1
Application number
19096358
Filed
Mar 31, 2025
Published
Oct 1, 2026
Inventors
10
Claims
20

Classified under

G06N 20/20 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.