Learn to build a text generator using a character-level LSTM implemented in PyTorch, focusing on the application of generating new baby names. Walk through the process of creating a recurrent neural network (RNN) that can generate novel text based on patterns learned from input data. Explore the implementation details of using Long Short-Term Memory (LSTM) units to capture long-range dependencies in text. Gain hands-on experience in training and using a deep learning model for creative text generation tasks.