The Transformer architecture consists of encoder and decoder modules, which work together to map text into vector space and generate coherent responses.

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...

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While efficient, Stable Diffusion comprises about one billion parameters between the constituent encoder, U-Net, and decoder models. A text encoder with an input sequence length of 77 and an output ...

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