PERFORMING MACHINE LEARNING TASKS USING INSTRUCTION-TUNED NEURAL NETWORKS

    公开(公告)号:US20230205994A1

    公开(公告)日:2023-06-29

    申请号:US17561581

    申请日:2021-12-23

    Applicant: Google LLC

    CPC classification number: G06F40/284 G06F40/30 G06N3/10 G06N5/04

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a machine learning task on an input to generate an output. In one aspect, one of the method includes receiving input data that describes an input of a machine learning task; receiving candidate output data that describes a set of candidate classification outputs of the machine learning task for the input; generating an input sequence that includes the input and the set of candidate classification outputs; processing the input sequence using a neural network to generate a network output that specifies a respective score for each candidate classification output in the set of candidate classification outputs; and generating an output of the machine learning task for the input, comprising selecting, as the output, a selected candidate classification output from the set of candidate classification outputs using the respective scores.

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