Visual Explanation of Transformer Architecture in Large Language Models

This article provides a visual explanation of transformer architecture in large language models, focusing on key components like embeddings, self-attention mechanisms, and MLP layers. It uses GPT-2 as a practical example to demonstrate how text-generative models process and predict sequential data.

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