Transformer-primarily based neural networks are quite large. These networks incorporate numerous nodes and layers. Each individual node in a layer has connections to all nodes in the next layer, Just about every of that has a fat plus a bias. Weights and biases together with embeddings are called design parameters. https://leadingmachinelearningcom09752.blogmazing.com/25820025/the-basic-principles-of-large-language-models