Dynamically adapting given assistant output based on a given persona assigned to an automated assistant

A system comprising:

• one or more processors;
• and
• memory storing instructions that, when executed, cause the one or more processors to:
• receive, from a developer associated with an automated assistant and for a given persona that is assignable to the automated assistant, developer input associated with one or more visual cues to be utilized in controlling a display of a client device with respect to a stream of textual content and/or in controlling a visualized representation of an instance of the automated assistant with respect to the stream of textual content;
• generate, based on at least the developer input, a given persona training instance to be utilized in further training an instance of a given large language model (LLM) that is specific to the given persona from among a plurality of disparate personas, the given LLM being previously trained to generate the stream of textual content;
• train the instance of the given LLM based on at least the given persona training instance;
• and
• cause the instance of the given LLM to be utilized in subsequently processing audio data capturing spoken utterances directed to the instance of the automated assistant that is assigned the given persona.

A non-transitory computer-readable storage medium storing instructions that, when executed, cause at least one processor to:

• receive, from a developer associated with an automated assistant and for a given persona that is assignable to the automated assistant, developer input associated with one or more visual cues to be utilized in controlling a display of a client device with respect to a stream of textual content and/or in controlling a visualized representation of an instance of the automated assistant with respect to the stream of textual content;
• generate, based on at least the developer input, a given persona training instance to be utilized in further training an instance of a given large language model (LLM) that is specific to the given persona from among a plurality of disparate personas, the given LLM being previously trained to generate the stream of textual content;
• train the instance of the given LLM based on at least the given persona training instance;
• and
• cause the instance of the given LLM to be utilized in subsequently processing audio data capturing spoken utterances directed to the instance of the automated assistant that is assigned the given persona.