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US Patent 11875130 Confidence generation for managing a generative artificial intelligence model

Patent 11875130 was granted and assigned to Intuit on January, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Intuit
Intuit
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Current Assignee
Intuit
Intuit
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118751300
Patent Inventor Names
Dusan Bosnjakovic0
Anshuman Sahu0
Date of Patent
January 16, 2024
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Patent Application Number
182260200
Date Filed
July 25, 2023
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Patent Citations
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US Patent 11429834 Neural-based agent assistance interface for providing answers based on a query vector
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US Patent 7966187 Script compliance and quality assurance using speech recognition
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US Patent 11687734 Systems and methods to extract the context of scientific measurements using targeted question answering
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US Patent 9497327 Voicemail preview and editing system
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US Patent 10534827 Systems and methods for word offensiveness detection and processing using weighted dictionaries and normalization
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US Patent 10997224 Identifying profanity in real time
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Patent Citations Received
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US Patent 12130943 Generative artificial intelligence model personally identifiable information detection and protection
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US Patent 12107885 Prompt injection classifier using intermediate results
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US Patent 12105844 Selective redaction of personally identifiable information in generative artificial intelligence model outputs
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US Patent 12111747 Dynamic input-sensitive validation of machine learning model outputs and methods and systems of the same
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US Patent 12111926 Generative artificial intelligence model output obfuscation
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US Patent 12130917 GenAI prompt injection classifier training using prompt attack structures
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US Patent 12106205 Dynamic, resource-sensitive model selection and output generation and methods and systems of the same
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Patent Primary Examiner
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Abdelali Serrou
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CPC Code
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G06F 40/211
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G06F 40/44
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G06F 40/56
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G06F 16/334
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G06F 16/951
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G06F 40/169
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G06F 16/367
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G06F 16/9024
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Patent abstract

Systems and methods are disclosed for managing a generative artificial intelligence (AI) model. Managing the generative AI model may include training or tuning the generative AI model before use or managing the operation of the generative AI model during use. Training or tuning a generative AI model typically requires manual review of outputs from the model based on the queries provided to the model to reduce hallucinations generated by the generative AI model. Once the model is in use, though, hallucinations still occur. Use of a confidence (whose generation is described herein) to train or tune the generative AI model and/or manage operation of the model reduces hallucinations, and thus improves performance, of the generative AI model.

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