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US 2026/0288790 A1Published application
Query response generation
AssigneeNVIDIA Corporation
InventorsShubhadeep Das, Sumit Bhattacharya, Ratin Kumar
Life of this patent
Estimating the term…
Abstract
In various examples, a conversational artificial intelligence (AI) platform uses structured data and unstructured data to generate responses to queries from users. In an example, if data for a response to a query is not stored in a structured data structured, the conversational AI platform searches for the data in an unstructured data structure.
Claims20
At least one processor comprising:
- one or more circuits to:
- determine, using one or more natural language processing (NLP) models, an intent expressed in a first query to a conversational artificial intelligence (AI) platform, the intent representing a user requested instruction to store personalization data derived from the first query in one or more data stores associated with a user;
- determine, using the one or more NLP models, a relevance expressed in a second query to the conversational AI platform of the personalization data stored responsive to the user requested instruction to a response to the second query;
- and
- based at least on the determining of the relevance, generate the response to the second query using the personalization data accessed from the one or more data stores.
2 more elements
A method comprising:
- determining, using one or more natural language processing (NLP) models, an intent indicated in a first query to a conversational artificial intelligence (AI) platform, the intent being to store personalization data derived from the first query in one or more data stores associated with a user;
- determining, using the one or more NLP models, a relevance indicated in a second query to the conversational AI platform of the personalization data to a response to the second query;
- and
- based at least on the determining of the relevance, generating the response to the second query using the personalization data accessed from the one or more data stores.
1 more element
A system comprising:
- one or more processors to perform operations including:
- determining, using one or more natural language processing (NLP) models, an intent indicated in a first query to a conversational artificial intelligence (AI) platform, the intent being to store personalization data derived from the first query in one or more data stores associated with a user;
- determining, using the one or more NLP models, a relevance indicated in a second query to the conversational AI platform of the personalization data to a response to the second query;
- and
- based at least on the determining of the relevance, generating the response to the second query using the personalization data accessed from the one or more data stores.
2 more elements
Dependencies are inferred from the claim text.