Transformer-based neural networks are really large. These networks have many nodes and levels. Every node in the layer has connections to all nodes in the next layer, each of that has a pounds and a bias. Weights and biases along with embeddings are referred to as model parameters.Determining the problems that must be solved is additionally necessa