We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
A standard theorem concerning the decomposition of a representation of a compact group on a Hilbert space $E$ is generalized to the case when $E$ is locally convex ...
Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage ...
Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...
Representation theory was initially dismissed. Today, it’s central to much of mathematics. When representation theory emerged in the late 19th century, many mathematicians questioned its worth. In ...
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