The Timeless Relevance of RNN/LSTM: Significance in 2023
4 min readAug 4, 2023
In recent years, the field of natural language processing (NLP) has witnessed a remarkable shift in the way sequential data is processed and understood. The advent of transformers, particularly the groundbreaking model known as the Transformer architecture, has revolutionized the NLP landscape with its ability to effectively capture long-range dependencies. As a result, many have speculated that recurrent neural networks (RNNs) and their variant, long short-term memory (LSTM), may have been surpassed by these newer and more powerful models. However, despite…
