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🤗 All things transformers with Hugging Face

Practical AI

CHAPTER

Understanding the Transformer Architecture

This chapter explains the transformer architecture's significance in natural language processing, contrasting it with traditional recurrent neural networks. It discusses the attention mechanism, performance benefits, and the pre-training of models like BERT and GPT. Additionally, the chapter explores the features of the Transformer library, its ecosystem, and the integration of various components in open-source NLP projects.

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