System and method for a generative artificial intelligence model gateway

A computer-implemented method comprising:

• receiving a prompt at at least one of an image component and a text component;
• determining, via execution of at least one of the image component and the text component, a personal identifiable information (PII) status for the prompt, wherein:
• execution of the text component includes accessing a previously created and trained machine learning model, the machine learning model trained with at least one of internal data and internet content;
• returning a PII response;
• receiving selection of a large language model (LLM) in a case the PII status is PII-free;
• determining a large language model status;
• transmitting the prompt to the selected LLM based on the large language model status;
• and
• receiving a large language model (LLM) output.

A non-transitory computer-readable medium storing instructions adapted to be executed by a computer processor to perform a method comprising:

• receiving a prompt at at least one of image component and a text component;
• determining, via execution of at least one of the image component and the text component, a personal identifiable information (PII) status for the prompt, wherein:
• execution of the text component includes accessing a previously created and trained machine learning model, the machine learning model trained with at least one of internal data and internet content;
• returning a PII response;
• receiving selection of a large language model (LLM) in a case the PII status is PII-free;
• determining a large language model status;
• transmitting the prompt to the selected LLM based on the large language model status;
• and
• receiving a large language model (LLM) output.