US 12,762,175 B2Granted

Automated exhaust data classification

AssigneeMicrosoft Technology Licensing, LLC

InventorDavid Speirs

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Abstract

The techniques presented herein provide a system for implementing automated exhaust data categorization. In general, exhaust data is a trail of data left by the activities of a computer system during regular activity, behavior, and/or transactions. As such, the amount and/or variety of exhaust data for a given can oftentimes be greater than the associated primary data. Consequently, analyzing exhaust data across an entire organization (e.g., a company) can be overwhelming for many automated tools, much less a manual approach. To that end, the present system streamlines the process of organizing and analyzing exhaust data through a customizable exhaust data retrieval query and a well-defined language model input structure. In various examples, the query is targeted to a specific timeframe, organization, data type, and so forth. Likewise, the language model input structure utilizes prompt engineering to leverage the powerful data processing capabilities of modern language models while minimizing inconsistencies.

Claims20

Dependent claims

A method for implementing an exhaust data categorization task, the method comprising:

receiving a query for an exhaust data retrieval operation, wherein the query defines:
a timeframe for the exhaust data retrieval operation;
an organization associated with the exhaust data retrieval operation;
a data type of the exhaust data retrieval operation;
and
an output format for the exhaust data retrieval operation;
executing the exhaust data retrieval operation by processing the query across a plurality of exhaust data repositories, wherein executing the exhaust data retrieval operation produces exhaust data;
appending the exhaust data to a language model input structure, wherein the language model input structure includes:
a natural language description of the exhaust data categorization task;
a plurality of predefined categories;
a natural language description of the output format defined by the query for the exhaust data retrieval operation;
and
a language model output format for the exhaust data categorization task;
providing the language model input structure with the appended exhaust data to a language model for execution;
receiving a language model output in response to an execution of the language model input structure by the language model, the language model output indicating a successful execution of the exhaust data categorization task;
and
returning the language model output to a computing device from which the query for the exhaust data retrieval operation was received.

14 more elements

A system for implementing an exhaust data categorization task, the system comprising:

a hardware processing unit;
and
a computer-readable medium having encoded thereon, computer-readable instructions that, when executed by the hardware processing unit, cause the hardware processing unit to perform operations comprising:
receiving a query for an exhaust data retrieval operation, wherein the query defines:
a timeframe for the exhaust data retrieval operation;
an organization associated with the exhaust data retrieval operation;
a data type of the exhaust data retrieval operation;
and
an output format for the exhaust data retrieval operation;
executing the exhaust data retrieval operation by processing the query across a plurality of exhaust data repositories, wherein executing the exhaust data retrieval operation produces exhaust data;
appending the exhaust data to a language model input structure, wherein the language model input structure includes:
a natural language description of the exhaust data categorization task;
a plurality of predefined categories;
a natural language description of the output format defined by the query for the exhaust data retrieval operation;
and
a language model output format for the exhaust data categorization task;
providing the language model input structure with the appended exhaust data to a language model for execution;
receiving a language model output in response to an execution of the language model input structure by the language model, the language model output indicating a successful execution of the exhaust data categorization task;
and
returning the language model output to a computing device from which the query for the exhaust data retrieval operation was received.

17 more elements

A computer-readable storage medium for implementing an exhaust data categorization task, the computer-readable storage medium having encoded thereon, computer-readable instructions that, when executed by a system, cause the system to perform operations comprising:

receiving a query for an exhaust data retrieval operation, wherein the query defines:
a timeframe for the exhaust data retrieval operation;
an organization associated with the exhaust data retrieval operation;
a data type of the exhaust data retrieval operation;
and
an output format for the exhaust data retrieval operation;
executing the exhaust data retrieval operation by processing the query across a plurality of exhaust data repositories, wherein executing the exhaust data retrieval operation produces exhaust data;
appending the exhaust data to a language model input structure, wherein the language model input structure includes:
a natural language description of the exhaust data categorization task;
a plurality of predefined categories;
a natural language description of the output format defined by the query for the exhaust data retrieval operation;
and
a language model output format for the exhaust data categorization task;
providing the language model input structure with the appended exhaust data to a language model for execution;
receiving a language model output in response to an execution of the language model input structure by the language model, the language model output indicating a successful execution of the exhaust data categorization task;
and
returning the language model output to a computing device from which the query for the exhaust data retrieval operation was received.

14 more elements

Dependencies are inferred from the claim text.