Ground truth insurance database

A computer-implemented method for building a ground truth insurance database via a generative pre-trained transformer with a multi-head self-attention mechanism, the method comprising:

• receiving, via one or more processors, potential insurance database information, wherein the potential insurance database information comprises:
• (i) insurance company application (app) information, (ii) anonymized insurance claim information, and/or (iii) police report information;
• retrieving, via the one or more processors, from the ground truth insurance database, existing ground truth insurance information by querying the ground truth insurance database based upon the potential insurance database information;
• determining, via the one or more processors, that the potential insurance database information should be added to the ground truth insurance database by comparing the potential insurance database information to the existing ground truth insurance information by:
• generating, via the generative pre-trained transformer:
• (i) a first summary document summarizing the potential insurance database information, and (ii) a second summary document summarizing the existing ground truth insurance information, wherein the generative pre-trained transformer is configured to generate the first summary document by, with the multi-head self-attention mechanism:
• (i) receiving, as an input, tokens included in the potential insurance database information, and (ii) performing, in parallel:
• (a) generating a query vector, a key vector, and a value vector for each token,
• (b) generating normalized weights based upon similarities between query vectors and key vectors, and
• (c) generating final vectors based upon (i) the normalized weights and (ii) the value vectors;
• generating the first summary document based upon the final vectors;
• sending the first and second summary documents to an administrator computing device;
• receiving, from the administrator computing device, a selection of the potential insurance database information or the existing ground truth insurance information;
• and
• determining to add the potential insurance database information to the ground truth insurance database if the selection indicates the potential insurance database information;
• and
• in response to the determination that the potential insurance database information should be added to the ground truth insurance database, adding, via the one or more processors, the potential insurance database information to the ground truth insurance database.

A computer device for building a ground truth insurance database via a generative pre-trained transformer with a multi-head self-attention mechanism, the computer device comprising:

• one or more processors;
• and
• one or more memories;
• the one or more memories having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computer device to:
• receive potential insurance database information, wherein the potential insurance database information comprises:
• (i) insurance company application (app) information, (ii) anonymized insurance claim information, and/or (iii) police report information;
• retrieve, from the ground truth insurance database, existing ground truth insurance information by querying the ground truth insurance database based upon the potential insurance database information;
• determine if the potential insurance database information should be added to the ground truth insurance database by comparing the potential insurance database information to the existing ground truth insurance information by:
• generating, via the generative pre-trained transformer:
• (i) a first summary document summarizing the potential insurance database information, and (ii) a second summary document summarizing the existing ground truth insurance information, wherein the generative pre-trained transformer is configured to generate the first summary document by, with the multi-head self-attention mechanism:
• (i) receiving, as an input, tokens included in the potential insurance database information, and (ii) performing, in parallel:
• (a) generating a query vector, a key vector, and a value vector for each token,
• (b) generating normalized weights based upon similarities between query vectors and key vectors, and
• (c) generating final vectors based upon (i) the normalized weights and (ii) the value vectors;
• generating the first summary document based upon the final vectors;
• sending the first and second summary documents to an administrator computing device;
• receiving, from the administrator computing device, a selection of the potential insurance database information or the existing ground truth insurance information;
• and
• determining to add the potential insurance database information to the ground truth insurance database if the selection indicates the potential insurance database information;
• and
• if the potential insurance database information should be added to the ground truth insurance database, add the potential insurance database information to the ground truth insurance database.