The Engineer’s Guide To Deep Learning

This article by Hironobu Suzuki discusses the transformative impact of AI technology, focusing on the groundbreaking significance of the Transformer model introduced in 2017. It provides a concise guide for engineers to understand and implement the Transformer, complete with working Python code examples and essential resources for further exploration. If you are looking for more of the same kind of content, try these: - The Annotated Transformer: Attention is All You Need - Transformers from Scratch - Andrej Karpathy: Neural Networks Zero to Hero - Andrej Karpathy: Let's build GPT, from scratch, in code, spelled out - 3Blue1Brown Neural Networks playlist

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