Summary: Using Transformers to Generate Text
Explore the fundamentals of transformer architectures and their components, such as attention and self-attention mechanisms. Learn about influential models like BERT, GPT, and GPT-2, and implement text generation pipelines using the Hugging Face transformer package. Understand how these models push the boundaries of natural language processing through advanced deep learning techniques.
We'll cover the following...
We'll cover the following...
In this chapter, we introduced some of the core ideas that have dominated recent models for NLP, like the attention mechanism, contextual embeddings, and self-attention. We then used this foundation to learn about ...