Group Action Framework
AssigneeServiceNow, Inc.
InventorsGaurav Goyal, Tao Feng, Dariush Shahgoshtasbi, Udayan Kumar, Manish Kumar Das, Sathish Kumar Gurram
Life of this patent
Estimating the term…
Abstract
A method includes obtaining an incident report and assigning an incident type to the incident report. The method also includes determining that the incident type has not been assigned to any prior incident reports and generating a prompt associated with the incident type based on determining that the incident type has not been assigned to any prior incident reports. The method also includes generating a response to the incident report based on the prompt using a large language model (LLM).
Claims20
A computer-implemented method comprising:
- obtaining a plurality of data inputs;
- identifying a respective input type for each data input of the plurality of data inputs;
- grouping a subset of data inputs of the plurality of data inputs into a plurality of groups by applying a similarity criterion to the plurality of respective input types;
- determining a respective processing characteristic associated with processing each of the subset of the data inputs by a large language model (LLM);
- generating a ranked list of data inputs associated with the subset of data inputs based on the respective processing characteristics;
- and
- processing, using the LLM, the subset of data inputs based on the ranked list to generate a respective output for each of the subset of data inputs.
A system comprising:
- data processing hardware;
- and
- memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:
- obtaining a plurality of data inputs;
- identifying a respective input type for each data input of the plurality of data inputs;
- grouping a subset of data inputs of the plurality of data inputs into a plurality of groups by applying a similarity criterion to the plurality of respective input types;
- determining a respective processing characteristic associated with processing each of the subset of the data inputs by a large language model (LLM);
- generating a ranked list of data inputs associated with the subset of data inputs based on the respective processing characteristics;
- and
- processing, using the LLM, the subset of data inputs based on the ranked list to generate a respective output for each of the subset of data inputs.
A computer-readable medium having instructions that, when executed by data processing hardware, cause the data processing hardware to perform operations comprising:
- obtaining a plurality of data inputs;
- identifying a respective input type for each data input of the plurality of data inputs;
- grouping a subset of data inputs of the plurality of data inputs into a plurality of groups by applying a similarity criterion to the plurality of respective input types;
- determining a respective processing characteristic associated with processing each of the subset of the data inputs by a large language model (LLM);
- generating a ranked list of data inputs associated with the subset of data inputs based on the respective processing characteristics;
- and
- processing, using the LLM, the subset of data inputs based on the ranked list to generate a respective output for each of the subset of data inputs.
Dependencies are inferred from the claim text.