The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 18, 2025

Filed:

Oct. 20, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Benjamin Goth Zorn, Woodinville, WA (US);

Carina Suzana Negreanu, Cambridge, GB;

Neil Blunt Toronto, Cambridge, GB;

Brian Paul Slininger, Seattle, WA (US);

Andrew Donald Gordon, Cambridge, GB;

Advait Sarkar, Cambridge, GB;

Elnaz Nouri, Seattle, WA (US);

Vu Minh Le, Redmond, WA (US);

Christian Leopold Bejamin Poelitz, London, GB;

Shraddha Govind Barke, La Jolla, CA (US);

Sruti Srinivasa Ragavan, Oxford, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/51 (2020.01); G06F 40/35 (2020.01);
U.S. Cl.
CPC ...
G06F 40/51 (2020.01); G06F 40/35 (2020.01);
Abstract

The indirect querying of models to determine capabilities possessed by the model. Such indirect queries take the form of model input that potentially includes a natural language input user data. Such model input is structured such that the output of the model is either not natural language at all, or else is natural language that is not semantically responsive to the natural language input. Nevertheless, the output is evaluated to estimate or determine the capability possessed by the model. Thus, models may be more fully utilized to their better potential.


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