Welcome to the Transformer Model Simulator. This application allows you to input text and visualize each step of how a Transformer model processes and generates output. You can also train the model with your own text to see how it learns from data.
The input text is divided into basic units called tokens.
Each token is transformed into a numerical vector representing its meaning.
Positional information is added to the embeddings to represent the order of tokens.
The model learns which parts of the sequence to focus on when processing each token.
The data passes through a neural network layer to perform a non-linear transformation.
The model generates the predicted output based on the processed data.