Chapter 4: The Bigram Model - Simplest Possible Language Model

What You'll Build A character-level language model that predicts the next character based only on the current character. No neural network, no gradients, just counting. A "bigram" is a pair of consecutive tokens (like 'e' followed by 'm'), so a bigram model is one that learns which pairs occur most often. Notice that this model uses plain double arrays, not Value objects. That's because there's nothing to train here. We're just counting occurrences in the data. Value only starts pulling its weig