Generating image scenarios based on events
AssigneeSnap Inc.
InventorsNathan Kenneth Boyd, Evan Spiegel, Celia Nicole Mourkogiannis
Life of this patent
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Abstract
Methods and systems are disclosed for suggesting scenarios for an image using one or more machine learning models based on a detected event. The methods and systems detect, by an interaction system associated with a first user, an event associated with a second user and generate a prompt comprising the event and a request for a plurality of scenarios that are relevant to the event. The methods and systems process the prompt by a large language model (LLM) to generate the plurality of scenarios that are relevant to the event and present an individual content item corresponding to an individual scenario of the plurality of scenarios.
Claims20
A method comprising:
- detecting, by an interaction system associated with a first user, an event associated with a second user;
- generating a prompt comprising the event and a request for a plurality of scenarios that are relevant to the event;
- processing the prompt by a large language model (LLM) to generate the plurality of scenarios that are relevant to the event;
- processing one or more fields of an individual scenario of the plurality of scenarios to automatically search for content items that match a description of the one or more fields of the individual scenario;
- and
- presenting an individual content item of the content items that match the description of the one or more fields of the individual scenario.
A system comprising:
- at least one processor;
- and
- at least one memory component having instructions stored thereon that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
- detecting, by an interaction system associated with a first user, an event associated with a second user;
- generating a prompt comprising the event and a request for a plurality of scenarios that are relevant to the event;
- processing the prompt by a large language model (LLM) to generate the plurality of scenarios that are relevant to the event;
- processing one or more fields of an individual scenario of the plurality of scenarios to automatically search for content items that match a description of the one or more fields of the individual scenario;
- and
- presenting an individual content item of the content items that match the description of the one or more fields of the individual scenario.
A non-transitory computer-readable storage medium having stored thereon instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
- detecting, by an interaction system associated with a first user, an event associated with a second user;
- generating a prompt comprising the event and a request for a plurality of scenarios that are relevant to the event;
- processing the prompt by a large language model (LLM) to generate the plurality of scenarios that are relevant to the event;
- processing one or more fields of an individual scenario of the plurality of scenarios to automatically search for content items that match a description of the one or more fields of the individual scenario;
- and
- presenting an individual content item of the content items that match the description of the one or more fields of the individual scenario.
Dependencies are inferred from the claim text.