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Transformer-centered neural networks are extremely large. These networks consist of multiple nodes and layers. Each individual node inside a layer has connections to all nodes in the following layer, Each individual of which has a fat and a bias. Weights and biases in addition to embeddings are often called model parameters.Code generation: assists