Interpretation and transformation of unstructured human input to enable end-to-end service visibility
AssigneeLightriver Technologies, Inc.
InventorsDaniel W. Rose, Timothy Wayne Masse, Frank M. Massa
Life of this patent
Estimating the term…
Loading patent…
AssigneeLightriver Technologies, Inc.
InventorsDaniel W. Rose, Timothy Wayne Masse, Frank M. Massa
Estimating the term…
Some embodiments enable the interpretation and transformation of unstructured human input to enable end-to-end service visibility across a transport network. Some embodiments include assembling and sending a prompt to a large language model (LLM) to interpret and transform examples of unstructured human input describing a circuit to network element (NE) information, where the NE information can be used to identify neighbor devices between different vendor products providing a service. The LLM can output data points that enable identifying neighboring devices on an end-to-end service path that includes multi-vendor and/or multigenerational devices. The data points used in conjunction with inventory data enables neighboring connections to be determined so that islands of different multi-vendor and/or multigenerational devices can be connected to neighbor devices along the end-to-end service path. The neighboring connections can be added to an inventory database enabling visibility end-to-end service path.
A computer implemented method for determining an end-to-end service path, comprising:
A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor of a computing device, cause the computing device to perform operations for determining an end-to-end service path, the operations comprising:
A system for determining an end-to-end service path, comprising:
Dependencies are inferred from the claim text.