An autoregressive language model is a type of Artificial Intelligence (AI) model that is used to predict the next word in a sentence, or sequence of words, by using patterns and trends in language. It does so by contextually analyzing the preceding words in a sentence to predict what the next word might be. This type of model is used in Natural Language Processing (NLP) tasks, such as language translation or text generation.
