RETVec: Resilient and Efficient Text Vectorizer

This is a Plain English Papers summary of a research paper called RETVec: Resilient and Efficient Text Vectorizer. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter.

Overview

• RETVec is an efficient, resilient, and multilingual text vectorizer designed for neural-based text processing.


• It combines a novel character encoding with an optional small embedding model to embed words into a 256-dimensional vector space.


• RETVec's embedding model is pre-trained using …

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