NLP, ChatGPT, Deep Learning, Artificial Intelligence, Data Science.
learning nonlinear combinations of word features. They avoid the curse of dimensionality faced by N-grams as the number of parameters does not grow exponentially with context length. However, NPLMs also have some drawbacks: The softmax layer can be computationally expensive for large vocabularies.