: Mapping tokens into high-dimensional vectors where similar meanings are closer together. Self-Attention
model = TransformerModel(vocab_size=10000, embedding_dim=128, num_heads=8, hidden_dim=256, num_layers=6) criterion = nn.CrossEntropyLoss() optimizer = optim.Adam(model.parameters(), lr=0.001) build large language model from scratch pdf