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How Do LLMs “Know” Things? Peeking Inside the “Brains” of AI

  • LLMs store knowledge in patterns woven into a vast multi-dimensional tapestry, understanding relationships between information rather than memorizing facts.
  • LLMs convert text into tokens and transform them into vectors placed in a multi-thousand-dimensional space where similar meanings or relationships point in similar directions.
  • Inside LLMs are Multi-Layer Perceptrons (MLPs) that process vectors, adding layers of meaning and association to understand information.
  • LLMs utilize superposition and distributed nature to pack large amounts of information efficiently, challenging traditional neuron-based knowledge representations.

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