Neural Networks, Gpt, Machine Learning, AI, ChatGPT.
(e.g., LSTM or GRU) to alleviate the problem. Memory and Context: RNNs are particularly useful for tasks that require capturing sequential information and maintaining memory or context. However, the presence of vanishing gradients can limit their ability to retain and propagate relevant information