Understanding vectors, tokens and embeddings is fundamental to grasping how LLMs process language. Tokens serve as the basic data units, vectors provide a mathematical framework for machine processing, and embeddings bring depth and understanding, enabling LLMs to perform tasks with human-like versatility and accuracy.
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