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Salesforce, Inc. (20250086467). METADATA DRIVEN PROMPT GROUNDING FOR GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS: Difference between revisions

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[[Category:Salesforce, Inc.]]
[[Category:Salesforce, Inc.]]
==Inventor(s)==
[[:Category:Victor Yee of San Francisco CA (US)|Victor Yee of San Francisco CA (US)]][[Category:Victor Yee of San Francisco CA (US)]]
[[:Category:Yiqiao Liu of Bellevue WA (US)|Yiqiao Liu of Bellevue WA (US)]][[Category:Yiqiao Liu of Bellevue WA (US)]]
[[:Category:Shashank Harinath of Palo Alto CA (US)|Shashank Harinath of Palo Alto CA (US)]][[Category:Shashank Harinath of Palo Alto CA (US)]]
[[:Category:Fermin Ordaz of San Francisco CA (US)|Fermin Ordaz of San Francisco CA (US)]][[Category:Fermin Ordaz of San Francisco CA (US)]]
[[:Category:Adam Smith of Carmel IN (US)|Adam Smith of Carmel IN (US)]][[Category:Adam Smith of Carmel IN (US)]]
[[:Category:Suhail Barot of Palo Alto CA (US)|Suhail Barot of Palo Alto CA (US)]][[Category:Suhail Barot of Palo Alto CA (US)]]
[[:Category:Tuan Nguyen of San Francisco CA (US)|Tuan Nguyen of San Francisco CA (US)]][[Category:Tuan Nguyen of San Francisco CA (US)]]
==METADATA DRIVEN PROMPT GROUNDING FOR GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS==
This abstract first appeared for US patent application 20250086467 titled 'METADATA DRIVEN PROMPT GROUNDING FOR GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS
==Original Abstract Submitted==
the described method may include receiving user input indicating a configuration identifying a large language model (llm) and a subset of documents indicated in the configuration as being available to a tenant. the method may include generating one or more vectorizations of content of the subset of documents. the method may include receiving a request to generate a generative response. the method may include generating the generative artificial intelligence (ai) prompt using the content to ground the generative ai prompt. the subset of documents may be identified based on a comparison between a vectorization of the request and the one or more vectorizations and based at least in part on a determination that a user associated with the tenant is permitted to access the subset of documents. the method may include presenting a response to the generative ai prompt, the response generated by the llm using the generative ai prompt.
[[Category:G06N3/0895]]
[[Category:G06N3/0475]]
[[Category:CPC_G06N3/0895]]

Latest revision as of 02:21, 15 March 2025

METADATA DRIVEN PROMPT GROUNDING FOR GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS

Organization Name

Salesforce, Inc.

Inventor(s)

Victor Yee of San Francisco CA (US)

Yiqiao Liu of Bellevue WA (US)

Shashank Harinath of Palo Alto CA (US)

Fermin Ordaz of San Francisco CA (US)

Adam Smith of Carmel IN (US)

Suhail Barot of Palo Alto CA (US)

Tuan Nguyen of San Francisco CA (US)

METADATA DRIVEN PROMPT GROUNDING FOR GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS

This abstract first appeared for US patent application 20250086467 titled 'METADATA DRIVEN PROMPT GROUNDING FOR GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS

Original Abstract Submitted

the described method may include receiving user input indicating a configuration identifying a large language model (llm) and a subset of documents indicated in the configuration as being available to a tenant. the method may include generating one or more vectorizations of content of the subset of documents. the method may include receiving a request to generate a generative response. the method may include generating the generative artificial intelligence (ai) prompt using the content to ground the generative ai prompt. the subset of documents may be identified based on a comparison between a vectorization of the request and the one or more vectorizations and based at least in part on a determination that a user associated with the tenant is permitted to access the subset of documents. the method may include presenting a response to the generative ai prompt, the response generated by the llm using the generative ai prompt.

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