Transformer-based neural networks are very large. These networks include numerous nodes and layers. Each node in a layer has connections to all nodes in the subsequent layer, each of that has a pounds in addition to a bias. Weights and biases coupled with embeddings are often known as design parameters.“Provided more details, compute and instruct… Read More