This article explains how large language models work by detailing the transformer architecture that powers them. It covers key components including tokenization, embedding matrices, and positional encoding that allow models to process and understand text.
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This article explains how large language models work by detailing the transformer architecture that powers them. It covers key components including tokenization, embedding matrices, and positional encoding that allow models to process and understand text.