An AI team trains a language model on a massive dataset of books and articles. The training process consists of a single, repeated task: the model is presented with a sentence where one word has been removed, and its goal is to predict the original missing word. The model is not given any other information or explicit rules about grammar or meaning. Based on this training method alone, what fundamental understanding is the model most likely developing?

Comparing Word Prediction Strategies

From Prediction to Understanding