Inference model optimization
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United States of America
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Jun 11, 2024
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app pub date -
Dec 15, 2020
filing date -
Dec 15, 2020
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Abstract
An approach to optimize performance for large scale inference models. Data in the form of images is received from sensors such as cameras. The data is processed to generate data tags associated with the context of the image and portion the images. Model tags are generated based on data characteristics or user input. The tags and their associated data are added to a time-based queue for delivery to the appropriate inference models. Based on the embedded delivery time and frequency, the portioned images are delivered to the appropriate inference models.
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