How word vectors encode meaning

3-Second Blueprint (English)

1. Language models split input text into tokens and map each token to a high-dimensional numeric vector called an embedding.
2. Training aligns semantic concepts and attributes with distinct geometric directions in this high-dimensional vector space.
3. Linear vector arithmetic captures relational analogies, such as adding (woman − man) to uncle to land near the vector for aunt.