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Explanation of LLM as Mapping Statistical Relationships Between Ideas in Language Models
Language models map statistical relationships between markers, letters in words, words in phrases, phrases in sentences, sentences in relationship to each other, and paragraphs in relation to one another. These models imply that any given idea is statistically likely to be connected to a specific set of other ideas rather than distant ones. More creative individuals can bridge the gap between central and distant ideas. Large language models associate sets of ideas by mapping statistical relationships, similar to how images evoke related concepts. The collective unconscious captures the statistical associations between ideas within a culture, representing them mathematically. Symbols consist of a network of statistically associated concepts with a core idea, serving as a system of weights through which we perceive the world.