Summary: Understanding the BERT Model
Explore the core structure of the BERT model to understand how its bidirectional transformer architecture enables contextual word embeddings. Discover how BERT is pretrained with masked language modeling and next sentence prediction tasks, and gain familiarity with key tokenization methods like BPE and WordPiece used to process text for NLP applications.
We'll cover the following...
We'll cover the following...
Key highlights
Summarized below are the main highlights of what we have learned in this chapter.
We began this chapter by understanding the basic idea of BERT. We learned that BERT can understand the ...