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Since its inception in 2017, the Transformer architecture has taken the world of NLP processing by storm, surpassing various other models in the same space. This chapter introduces the Transformer architecture and explains its evolution. It also compares the transformer model to other models. You also learn about its key components, underlying foundation, use cases, and limitations. This is followed by a taxonomy of transformer-based models and a detailed deep dive into one of the most popular transformer-based models, which will help you better understand how it works behind the scenes.

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Transformer Architecture and Large Language Models

  • 章节

  • 发表日期：

    2026年

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  • Avijit Dhar

摘要

Since its inception in 2017, the Transformer architecture has taken the world of NLP processing by storm, surpassing various other models in the same space. This chapter introduces the Transformer architecture and explains its evolution. It also compares the transformer model to other models. You also learn about its key components, underlying foundation, use cases, and limitations. This is followed by a taxonomy of transformer-based models and a detailed deep dive into one of the most popular transformer-based models, which will help you better understand how it works behind the scenes.