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 perform operations, the operations comprising:
• obtaining, from an online multimedia repository, video content that includes a stream of audio data for audible content of the video content and a stream of vision data for visual content of the video content;
• processing, using an automatic speech recognition model, the stream of audio data for the audible content of the video content to generate a stream of textual content corresponding to one or more spoken utterances captured in the stream of audio data for the audible content of the video content;
• processing, using one or more movement tracking machine learning models, the stream of vision data for the visual content of the video content to generate the stream of visual cues;
• generating, based on processing the stream of audio data and based on processing the stream of video data, a given persona training data instance to be utilized in further training an instance of a given large language model (LLM) that is specific to a given persona, from among of a plurality of disparate personas, embodied in the video content;
• training the instance of the given LLM based on at least the given persona training instance;
• and
• causing the instance of the given LLM to be utilized in subsequently processing additional audio data capturing additional spoken utterances directed to an instance of an 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 perform operations, the operations comprising:

• obtaining, from an online multimedia repository, video content that includes a stream of audio data for audible content of the video content and a stream of vision data for visual content of the video content;
• processing, using an automatic speech recognition model, the stream of audio data for the audible content of the video content to generate a stream of textual content corresponding to one or more spoken utterances captured in the stream of audio data for the audible content of the video content;
• processing, using one or more movement tracking machine learning models, the stream of vision data for the visual content of the video content to generate a stream of visual cues corresponding to one or more movements captured in the stream of vision data for the visual content of the video content;
• generating, based on processing the stream of audio data and based on processing the stream of video data, a given persona training data instance to be utilized in further training an instance of a given large language model (LLM) that is specific to a given persona, from among of a plurality of disparate personas, embodied in the video content;
• training the instance of the given LLM based on at least the given persona training instance;
• and
• causing the instance of the given LLM to be utilized in subsequently processing additional streams of audio data capturing additional spoken utterances directed to an instance of an automated assistant that is assigned the given persona.