SYSTEM AND METHOD FOR TRAINING A MULTI-TENANT LANGUAGE MODEL

A system and method are disclosed for reducing false responses from a large language model. The method includes: mapping a data field from a first source to a semantic layer, the semantic layer including a plurality of data fields; storing data from the first source in a database based on the semantic layer; tokenizing each data field for a first large language model (LLM); fine-tuning the first LLM based on the tokenized semantic layer; providing a prompt to the first LLM, which configures it to generate an output answer; providing the output answer to a second LLM, which configures it to generate a query for the database; executing the query on the database to generate a database output based on the stored data; and providing the output answer in a user interface (UI) in response to determining that the database output and the output answer are within a predefined threshold.