Document entity extraction platform based on large language models

A system for entity extraction, comprising:

• at least one processor;
• and
• at least one non-transitory computer-readable medium containing instructions that, when executed by the system, cause the system to perform operations comprising:
• receiving, from a user, a first input comprising a body of text to be processed for information;
• receiving, from the user, a second input comprising a set of at least one element, wherein each of the at least one element comprises information associated with an entity, and wherein each of the at least one entity is data to be extracted from the first input;
• creating a tailored input for a machine learning model based on the second input;
• sending the tailored input to the machine learning model;
• receiving an output from the machine learning model;
• processing the output;
• and
• providing a processed interactive output to the user.