NLP, ChatGPT, Deep Learning, Artificial Intelligence, Data Science.
expensive, especially for long sequences, as they require computing a score for each encoder-decoder pair. They can be prone to misalignment and attention drift, especially for noisy or ambiguous inputs. They do not explicitly model the hierarchical structure of language, which can be important for