New data analysis tools are amping up game UA creative testing (VB Live)

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theres still use for many of these.Transformers repeatedly apply a self-attention operation to their inputs: this leads to computational requirements that simultaneously grow quadratically with input length and linearly with model depth.

or run the same number of input symbols while requiring less compute time -- a flexibilty the authors believe can be a general approach to greater efficiency in large networks.Other examples include Googles Pathways.

which requires that each model output depend only on inputs that precede it in sequence.and the latent representation.