NiuTrans/Introduction-to-Transformers
An introduction to basic concepts of Transformers and key techniques of their recent advances.
This resource helps students and researchers understand the core concepts and advancements of Transformer models, which are crucial in natural language processing (NLP). It takes foundational knowledge of linear algebra and probability, and delivers a clear explanation of Transformer architecture, refinements, and applications. The end-user is an NLP student or researcher looking to deepen their understanding of these powerful models.
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Use this if you are an NLP student or researcher with a basic understanding of linear algebra and probability, seeking to learn the fundamentals and recent advancements of Transformer models.
Not ideal if you are a complete beginner to machine learning or neural networks, or if you are looking for an exhaustive survey of every technical detail and research paper related to Transformers.
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Dec 21, 2023
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