Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
embedding_dimension dropout_rate = 0.1 num_decoder_layers = 4 context_length = 5 batch_size = 1 vocabulary = ["transformer", "deep", "learning", "natural", "language", "processing", "model", "architecture"] vocab_size = len(vocabulary) # Create dictionaries to map words to indices and vice versa