Personalized privacy preserving llm

Abstract

An apparatus may receive a query from a wireless transmit/receive unit (WTRU). The apparatus may identify at least one contextual data embedding vector that is relevant to at least one portion of an embedded vector associated with the query based on a criteria. The apparatus may input the query and/or portions of the query and/or the at least one contextual data embedding vector, based on the criteria, to a large language model (LLM). The at least one contextual data embedding may be incorporated with the query based on the criteria. The apparatus may receive a contextualized response to the query from the LLM based on the at least one contextual data incorporated with the query, based on the criteria. The apparatus may transmit the contextualized response via a (e.g., secure) network to the WTRU.

Dependencies are inferred from the claim text.