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This chapter explores the application of transformers in NLP tasks such as language modeling and sequence-to-sequence learning. It covers popular models like BERT and GPT, emphasizing their mathematical underpinnings, architectural innovations, and performance analysis for various language tasks.

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Transformers in Natural Language Processing

  • 章节

  • 发表日期：

    2025年

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  • Pradeep Singh,
  • Balasubramanian Raman

摘要

This chapter explores the application of transformers in NLP tasks such as language modeling and sequence-to-sequence learning. It covers popular models like BERT and GPT, emphasizing their mathematical underpinnings, architectural innovations, and performance analysis for various language tasks.