Iterative context-based generative artificial intelligence
AssigneeC3.ai, Inc.
InventorsLouis Poirier, Romain Juban, Yushi Homma, Riyad Muradov, Michael Haines
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Abstract
Systems and methods managing a plurality of agents to generate a response to a query using a multimodal model. An example method uses the plurality of agents to iteratively determine subsequent outputs of the multimodal model satisfies the query. It can generate a respective context associated with a respective output of the multimodal model. And determine, by the multimodal model based on the respective context, whether the respective subsequent output satisfies the query.
Claims18
A method comprising:
- generating, using a multimodal model, a response to a query;
- iteratively determining, in response to the query whether one or more subsequent outputs of the multimodal model satisfies the query;
- generating a respective context associated with a respective output of the multimodal model;
- and
- determining, by the multimodal model based on the respective context, whether the respective subsequent output satisfies the query.
A system comprising one or more processing devices and one or more memory devices operably coupled to the one or more processing devices, the one or more memory devices storing executable code effective to cause the one or more processing devices to:
- generate, using a large language model, a response to a query;
- iteratively determine, in response to a query whether one or more subsequent outputs of the large language model satisfies the query;
- generate a respective context associated with a respective output of the large language model;
- and
- determine, by the large language model based on the respective context, whether the respective subsequent output satisfies the query.
A non-transitory computer readable medium comprising instructions that when executed cause at least one processor to:
- generate, using a large language model, a response to a query;
- iteratively determine, in response to a query whether one or more subsequent outputs of the large language model satisfies the query;
- generate a respective context associated with a respective output of the large language model;
- and
- determine, by the large language model based on the respective context, whether the respective subsequent output satisfies the query.
Dependencies are inferred from the claim text.