How LLMs Actually Work: A Walkthrough of Transformer Architecture

A 26-minute explainer walks through the core mechanisms of transformer-based LLMs, covering tokenization, embeddings, attention, multi-head attention, feed-forward networks, and the residual stream. It aims to help readers understand modern LLM papers and model cards.
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