In this post you will learn about the transformer architecture, which is at the core of the architecture of nearly all cutting-edge large language models. We’ll start with a brief chronology of some relevant natural language processing concepts, then we’ll go through the transformer step by step and uncover how it works.
Who is this useful for? Anyone interested in natural language processing (NLP).
How advanced is this post? This is not a complex post, but there are a lot of concepts, so it might be daunting to less experienced data scientists.
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