The Journey of Language Processing

This chapter explores the evolution of natural language processing from traditional statistical methods to modern architectures like Transformers, highlighting the impact of early techniques such as grammar trees. It delves into the significance of interpretability in machine learning, discussing challenges surrounding word embeddings and the necessity of linking language to real-world concepts. The chapter also emphasizes collaborative efforts in AI research and the mechanics of testing in language models, showcasing a project that combines coding and linguistic structures to decipher codes.