Building a Character-Level Language Model

This article discusses the implementation of a character-level language model, which predicts the next character given the previous characters. It covers loading the dataset, creating a bigram language model, and adding special tokens to the model.

Details

The article introduces a character-level language model, which is a type of machine learning model that predicts the next character in a sequence given the previous characters. It starts by loading a dataset of words, and then explores a bigram language model, where the model works with two characters at a time to predict the next character. The article also demonstrates how to add special tokens like <START> and <END> to the model to represent the beginning and end of a word. This is a fundamental technique in building language models, which are widely used in natural language processing applications.