Transformer-based neural networks are incredibly large. These networks have multiple nodes and layers. Every node in the layer has connections to all nodes in the following layer, Every single of that has a pounds as well as a bias. Weights and biases in addition to embeddings are called model parameters. https://largelanguagemodels21863.newbigblog.com/31855192/not-known-factual-statements-about-large-language-models