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Embeddings are numerical representations of text that capture semantic meaning — the mathematical foundation of how ChatGPT understands language.

Key Concepts

  • Words and phrases are mapped to vectors in high-dimensional space
  • Similar meanings cluster near each other
  • 'King' - 'Man' + 'Woman' ≈ 'Queen' (classic example)
  • OpenAI's embedding API allows developers to build semantic search and recommendation systems

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ChatGPT University: Embeddings — How ChatGPT Understands Meaning
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ChatGPT University: Embeddings — How ChatGPT Understands Meaning
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Reference:

Wikipedia: Word Embedding

image for linkhttps://en.wikipedia.org/wiki/Word_embedding

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