Supplementation of large language model knowledge via prompt modification

A method, implemented in a computing system comprising at least one hardware processor and at least one memory coupled to the at least one hardware processor, the method comprising:

• receiving, from a user, user input comprising a plurality of tokens;
• analyzing at least a portion of the plurality of tokens;
• based on the analyzing, determining one or more entities of a semantic framework represented in the at least a portion of the plurality of tokens;
• determining one or more triples of the semantic framework for at least a portion of the one or more entities or for associated entities;
• adding at least a portion of the one or more triples, or a representation thereof, to the user input to provide modified user input;
• submitting the modified user input to a large language model;
• processing the modified user input using the large language model to provide a response;
• and
• returning the response in response to the receiving the user input.

One or more computer-readable storage media comprising:

• computer-executable instructions that, when executed by a computing system comprising at least one hardware processor and at least one memory coupled to the at least one hardware processor, cause the computing system to receive, from a user, user input comprising a plurality of tokens;
• computer-executable instructions that, when executed by the computing system, cause the computing system to analyze at least a portion of the plurality of tokens;
• computer-executable instructions that, when executed by the computing system, cause the computing system to, based on the analyzing, determine one or more entities of a semantic framework represented in the at least a portion of the plurality of tokens;
• computer-executable instructions that, when executed by the computing system, cause the computing system to determine one or more triples of the semantic framework for at least a portion of the one or more entities or for associated entities;
• computer-executable instructions that, when executed by the computing system, cause the computing system to add at least a portion of the one or more triples, or a representation thereof, to the user input to provide modified user input;
• computer-executable instructions that, when executed by the computing system, cause the computing system to submit the modified user input to a large language model;
• computer-executable instructions that, when executed by the computing system, cause the computing system to process the modified user input using the large language model to provide a response;
• and
• computer-executable instructions that, when executed by the computing system, cause the computing system to return the response in response to the receiving the user input.