US US20260228546A1
[0000] A computer-implemented method for using multi-agent collaboration to steer a machine learning model. The computer-implemented method comprises receiving a task prompt as an input to the model. The computer-implemented method further comprises determining an aggregated vote corresponding to a model steering value, wherein the aggregated vote is based on respective votes of each of a plurality of agents, each of the plurality of agents being a computer-implemented agent. The computer-implemented invention further comprises modifying an activation function of one or more artificial neurons in a layer of the machine learning model based upon the aggregated vote and a mapping between the activation function and the model steering value. The computer-implemented method further comprises generating a command based upon the output of the layer having the modified activation function. The computer implemented method further comprises providing the command to one or more of the plurality of agents.
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