Methods and systems for generation of text using large language model with indications of unsubstantiated information

A method comprising:

• generating a prompt to a large language model (LLM) to generate a description of an object, the prompt including one or more object attributes to include in the generated description, and also including an instruction for the LLM to annotate, according to a defined format, any portions of the generated description that include unsubstantiated information;
• providing the prompt to the LLM and receiving the generated description;
• parsing the generated description to identify, based on the defined format, one or more annotated portions indicating unsubstantiated information;
• and
• presenting the generated description for display via a user device.

A non-transitory computer readable medium storing computer-executable instructions thereon, wherein the instructions are executable by a processing unit of a system to cause the system to:

• generate a prompt to a large language model (LLM) to generate a description of an object, the prompt including one or more object attributes to include in the generated description, and also including an instruction for the LLM to annotate, according to a defined format, any portions of the generated description that include unsubstantiated information;
• provide the prompt to the LLM and receive the generated description;
• parse the generated description to identify, based on the defined format, one or more annotated portions indicating unsubstantiated information;
• and
• present the generated description for display via a user device.