Abstract: With the increasing implementation of machine learning models on the edge or Internet of Things (IoT) devices, deploying advanced models on resource-constrained IoT devices remains ...
I'd like to suggest the implementation of implicit reparameterization gradients, as described in the paper [1], for the Gamma distribution: ndarray.sample_gamma and symbol.sample_gamma. This will ...
Deploying large language models (LLMs) on resource-constrained devices presents significant challenges due to their extensive parameters and reliance on dense multiplication operations. This results ...
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