US 2026/0093928 A1 · CONTENT GENERATION FOR GENERATIVE LANGUAGE MODELS

Abstract

Methods, systems, and apparatuses include receiving input from a client device to facilitate electronic messaging between a first user associated with first attribute data and a second user, where the client device provides a messaging interface that facilitates the electronic messaging. A messaging intent is determined based on the first attribute data of the first user, where the messaging intent corresponds to a purpose of the electronic messaging. A set of attributes of the first attribute data is mapped to prompt inputs based on the messaging intent. A generative language model is applied to the prompt inputs. Suggestions for adding messaging content in the messaging interface are output by the generative language model based on the prompt inputs. The suggestions are presented on the messaging interface.

Claims20

Dependent claims

A method comprising:

receiving a first interaction with a first profile via an interface of an application software system;
determining a generative machine learning model (GMLM) instruction based on the first interaction;
determining a first attribute using the first profile;
generating a determination based on the first interaction, wherein the determination comprises whether to include the first attribute as input to a generative machine learning model or exclude the first attribute from the input to the generative machine learning model;
providing the GMLM instruction to the generative machine learning model, wherein the GMLM instruction causes the generative machine learning model to generate and output first suggested content based on the GMLM instruction and the determination;
causing presentation of the first suggested content via the interface of the application software system;
and
including the first suggested content in the first profile.

5 more elements

A system comprising:

a processor;
and
memory coupled to the processor, wherein the memory comprises instructions that when executed by the processor cause the processor to:
receive a first interaction with a first profile via an interface of an application software system;
determine a generative machine learning model (GMLM) instruction based on the first interaction;
determine a first attribute using the first profile;
generate a determination based on the first interaction, wherein the determination comprises whether to include the first attribute as input to a generative machine learning model or exclude the first attribute from the input to the generative machine learning model;
provide the GMLM instruction to the generative machine learning model, wherein the GMLM instruction causes the generative machine learning model to generate and output first suggested content based on the GMLM instruction and the determination;
cause presentation of the first suggested content via the interface of the application software system;
and
include the first suggested content in the first profile.

8 more elements

Dependencies are inferred from the claim text.

Content generation for generative language models

Life of this patent

Content generation for generative language models

Life of this patent

Abstract

Claims20