Building a language model is a complex process. In a nutshell, you should collect a large dataset to train the model. This could be a dataset of billions of natural language text sources, including articles, books, research, papers, and other content. Once you have your data, you need to develop a machine learning model which can process this training data and recognize natural language patterns. Eventually, this will enable the model to predict and generate natural language sequences that human users can understand.