SIMILARITY-BASED GENERATIVE AI OUTPUT FILTERING
Methods and systems for generating output content using a generative artificial intelligence (AI) model based on an input. A similarity-assessment layer at the output of the generative AI model determines a similarity measure for the output content vis-à-vis pre-existing items in a repository. The s...
Saved in:
Main Authors | , |
---|---|
Format | Patent |
Language | English |
Published |
16.05.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Methods and systems for generating output content using a generative artificial intelligence (AI) model based on an input. A similarity-assessment layer at the output of the generative AI model determines a similarity measure for the output content vis-à-vis pre-existing items in a repository. The similarity measure is compared to a threshold value and, responsive to the comparison indicating excessive similarity, one or both of the input and the generative AI model are adjusted, and the generative AI model is re-run to generate new output content. |
---|---|
Bibliography: | Application Number: US202318313688 |