PERSONALIZED MULTI-RESPONSE DIALOG GENERATED USING A LARGE LANGUAGE MODEL

Techniques are described herein for personalized multi-response dialog generated using one or more large language models. A method includes: receiving first natural language (NL) based input associated with a client device; generating, based on the first NL based input and using at least one large language model (LLM), one or more instances of first LLM output; determining, based on the one or more instances of first LLM output, at least three responses to the first NL based input; determining, based on at least one scoring criterion, respective scores of the at least three responses to the first NL based input; selecting, based on the respective scores of the at least three responses to the first NL based input, from the at least three responses to the first NL based input, a first subset, the first subset comprising at least two responses to the first NL based input; and causing each of the at least two responses in the first subset to be rendered at the client device.