NLP, Llm, Large Language Models, AI, ChatGPT.
involving longer sequences. Widely used in various NLP tasks like machine translation, sentiment analysis, and text summarization. Weaknesses: Can be more complex to train compared to simpler RNNs. In summary: RNNs are a foundational concept for handling sequential data in neural networks. LSTMs