This chapter provides a comprehensive overview of language modeling, its importance in the field of natural language processing, and the key challenges that researchers and developers face when building advanced language models.

In this chapter, students will delve into the intricacies of transformer-based architectures, which have revolutionized the field of language modeling.

This chapter focuses on the crucial step of dataset curation and preprocessing, which is essential for training a robust and high-performing language model.

In this chapter, students will delve into the process of designing and training their own language model architecture.

This chapter equips students with the necessary skills to evaluate and benchmark their language models against the state-of-the-art.

In the final chapter, students will learn how to deploy their language models in real-world applications.