2. Demystifying Recurrent Neural Networks: PyTorch LSTM Implementations
   RNNs are a type of neural network designed to handle sequential data, where the output at each step depends not only on the current input but also on the hidden state from previous steps
3. Taming Variable Lengths: Packing Sequences in PyTorch for RNN Mastery
   In deep learning, we often work with sequences of data, like sentences in text or time series in finance. These sequences can have different lengths