Sourcing output of generative ai

An apparatus to source responses of a large language model, the apparatus comprising:

• a central server, the central server comprising:
• a server communication link;
• a server processor;
• and
• a server non-transitory memory configured to store at least:
• a server operating system;
• and
• a response sourcing program executed on the server processor;
• and
• a user device, the user device comprising:
• a device communication link;
• a device processor;
• and
• a device non-transitory memory configured to store at least:
• a device operating system;
• and
• a user interface program executed on the device processor and adapted to interact with the large language model and the response sourcing program;
• wherein the response sourcing program:
• receives, over a network, a response from the large language model to a query from the user;
• analyzes the response;
• determines, to a predetermined level and through one or more artificial intelligence/machine learning (“AI/ML”) algorithms, one or more sources the large language model used to generate the response;
• transmits, over the network, the determined one or more sources to the user device;
• and
• displays the determined one or more sources on the user interface program.

A method for sourcing responses of a large language model, the method comprising:

• receiving, at a response sourcing program executed on a server, a response from the large language model to a query from a user;
• analyzing the response;
• determining, to a predetermined level and through one or more artificial intelligence/machine learning (“AI/ML”) algorithms, one or more sources the large language model used to generate the response;
• transmitting, over a network, the determined one or more sources to a user device;
• and
• displaying the determined one or more sources on a user interface program on the user device.