Abstract: Aspects of the disclosure are directed to a token aggregator for aggregating outputs from various generative models. The token aggregator can operate on a token-by-token basis, serving to aggregate several weighted generative model outputs to generate a joint output. By providing weights to the token aggregator as to what the preferred distribution may be, the weights can be used to tradeoff between generative model outputs to help determine the relative weight of the generative model outputs for creating the joint output as well as determining contribution amounts, e.g., bid payments, credits, or points, from respective model outputs.

Abstract: Aspects of the disclosure are directed to a token aggregator for aggregating outputs from various generative models. The token aggregator can operate on a token-by-token basis, serving to aggregate several weighted generative model outputs to generate a joint output. By providing weights to the token aggregator as to what the preferred distribution may be, the weights can be used to tradeoff between generative model outputs to help determine the relative weight of the generative model outputs for creating the joint output as well as determining contribution amounts, e.g., bid payments, credits, or points, from respective model outputs.