<ul><li>Vectors, which have both magnitude and direction, play a crucial role in AI applications.</li><li>Embeddings represent data as vectors and are used for tasks like similarity search and ranking.</li><li>Generative AI utilizes vector spaces to group similar items and order them based on relevance.</li><li>Further articles in this series will cover matrices, eigenvalues, and eigenvectors in linear algebra.</li></ul>

Linear Algebra (Part 1): The math behind AI’s vector embeddings, similarity search, and much more

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