Sebastian Raschka • 2/7/2023

Understanding Large Language Models -- A Transformative Reading List

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This article provides a chronological reading list of foundational research papers for understanding large language models (LLMs) and the transformer architecture. It starts with the 2014 attention mechanism paper, covers the seminal 'Attention Is All You Need' (2017), and includes BERT (2018), explaining their role in modern NLP, computer vision, and computational biology. It also mentions helpful external resources like blog posts and code implementations for practitioners.

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#Machine Learning #large language models #Transformers
Understanding Large Language Models -- A Transformative Reading List

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