SYSTEMS AND METHODS FOR GENERATING A VECTOR QUANTIZED MACHINE LEARNING MODEL
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United States of America Patent
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Issued Date -
Mar 27, 2025
app pub date -
Sep 21, 2023
filing date -
Sep 21, 2023
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In some implementations, the device may include receiving a training dataset. In addition, the device may include training a neural model with the training dataset to generate a first layer having weighted parameters. The device may include dividing the first layer into a first predetermined number of segments based on the first layer being a first type of layer. Moreover, the device may include generating a codebook by replacing the weighted parameters in each segment of the first layer with a codeword based on finding a representative vector which most closely relates to the weighted parameters of each segment in a vectorization dictionary, where the codebook includes a number of codewords equal to the first predetermined number of segments and each codeword includes the representative vector. Also, the device may include in response to updating the neural model with the codebook, outputting a trained neural model that includes the codebook which replaces the first layer.
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