Vector Embeddings

This is a technique used in [[machine-learning]] to convert abstract data like documents and texts into vectors which is easier to process by the [[large-language-models]] which also allow for semantic similarity like how human perceived related concepts within the dataset.

Useful Links

• What are Vector Embeddings?

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